mileta

mileta

Hackathons
23
Rank
256
Points
Participated in DataHour: Data Curation and Reliability for LLM and GenAI Applications
Participated in DataHour: Should I Use RAG or Fine-Tuning?
Participated in DataHour: How to Customize and Evaluate Your LLMs
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in Strategic Sprint Mar 2017
Participated in Club Mahindra DataOlympics
Participated in Janatahack: Healthcare Analytics II
Participated in #AVdatafest SkillPower: Time Series
Participated in The Smart Recruits
Participated in Janatahack: Cross-sell Prediction
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in Mind Your Strategy
Participated in Linguipedia codeFest Natural Language Processing
Participated in Enigma codeFest Machine Learning
Participated in Strategic Sprint
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Lord of the Machines: Data Science Hackathon
Participated in Genpact Machine Learning Hackathon
Participated in JanataHack: HR Analytics
Participated in Skilltest: Deep Learning
Participated in The Strategic Ball
Participated in Codefest: Linguipedia
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in Skilltest: Logistic Regression
Participated in QuantumBlack Hackathon
Participated in JanataHack: Recommendation Systems
Participated in Skilltest: Statistics
Participated in Janatahack: Customer Segmentation
Participated in Dataverse Hack
Participated in Codefest: Enigma
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in JanataHack: Mobility Analytics
Participated in LTFS Data Science FinHack 2
Participated in Skilltest : R for Data Science
Participated in Capillary Machine Learning Hackathon
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in JanataHack: Machine Learning for IoT
Participated in McKinsey Analytics Online Hackathon
Participated in DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
Participated in DataHour:LangChain 101
Participated in DataHour: Building Generative AI Applications using Amazon Bedrock
Participated in DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
Participated in DataHour: Enterprise Challenges with Generative AI and LLMs
Participated in DataHour: ML Model Deployment: Best MLOps and GitOps Practices
Participated in DataHour: Open-Source For Accelerating AI Development
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Felicity : Kings of Machine Learning
Participated in Click Prediction Hackathon
Participated in Skilltest: Regression
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in HackLive 3: Guided Hackathon - NLP
Participated in #AVdatafest SkillPower: Deep Learning
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in India ML Hiring Hackathon 2019
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in JanataHack: Machine Learning for Banking
Participated in VISTA codeFest Computer Vision
Participated in JanataHack: Demand Forecasting
Participated in Fractal Analytics Hiring Hackathon
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in Janatahack: Machine Learning in Agriculture
Participated in #AVdatafest SkillPower: Machine Learning
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in HackLive 4: Guided Community Hackathon!
Participated in WNS Analytics Wizard 2019
Participated in Skilltest: k-Nearest Neighbor (kNN)
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Data Science Hackathon: Churn Prediction
Participated in JanataHack: Time Series Forecasting
Participated in DataHour: Implementing Gen AI solutions with RAG Architecture
Participated in DataHour: Predictive Analytics - Performance Estimation without the Target Data
Participated in DataHour: Build Your Own Private ChatBot using GenAI- RAG
Participated in Skilltest: Tree Based Models
Participated in #AVdatafest: The Strategic Thor
Participated in Janatahack: Healthcare Analytics
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in The Strategic Saviour
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
Participated in WNS Triange Hackquest
Participated in DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
Participated in DataHour: Search With ChatGPT: RAG and Semantic Search
Participated in DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
Participated in DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
Participated in DataHour: Interpreting Machine Learning Models with Python
Participated in DataHour: Significance of Vector Databases in Gen AI
Participated in DataHour: Visualizing Insights: Understanding Data Visualization Techniques
Participated in DataHour: Model Explainability and Model Diagnosis
Participated in DataHour: Large Language Models for India
Participated in DataHour: Introduction to Convolutional Neural Networks
Participated in DataHour: Creating Advanced & Large-Scale Recommendation System
Participated in DataHour: Building a Simple LLM Application: ChatGPT Summarizer
Participated in DataHour: Building Safe AI Experiences with Azure AI Content Safety
Participated in DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
Participated in DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
Participated in DataHour: Crafting and Implementing a GenAI Strategy with StratOps
Participated in DataHour: ML Based Manufacturing Quality Inspection
Participated in DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
Participated in DataHour: Introduction to Time Series Analysis
Participated in DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
Participated in DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
Participated in DataHour: LLMOps - MLOps for Generative AI
Participated in DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
Participated in DataHour: Custom GPTs in Industry: Assessing GPT-4V
Participated in DataHour: LLMs in Action: Crafting a Winning Product Strategy
Participated in Ripik.AI HackFest: Unleashing AI Potential
Participated in DataHour: Large Language Models- Evolution, Challenges and Way Forward
Participated in DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
Participated in DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
Participated in DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
Participated in DataHour: Democratising AI Deployment
Participated in DataHour: High Impact AI/ML Solutions by Effective Formulation
Participated in DataHour: LLM Training Tips & Tricks
Participated in DataHour: Demystifying Demand Forecasting for Retail Success
Participated in DataHour: Unwritten Rules for Success in Machine Learning
Participated in DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
Participated in DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
Participated in DataHour: Current and Best Practices for LLM Evaluation
Participated in DataHour: Medical-Chat Bot: The History of Our Attempt
Participated in DataHour: Machine Learning Tips and Tricks
Participated in DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
Participated in DataHour: Building Useful Applications with LLMs
Participated in DataHour: Create a Language to SQL Translator with LLM
Participated in DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
Participated in DataHour: Era of AI-Assisted Innovation
Participated in DataHour: Production Stack for LLMs
Participated in DataHour: Building Multi-Stage Reasoning Systems with LangChain
Participated in DataHour: Securing LLM-Based Applications
Participated in DataHour: BUILDING CHATBOTS USING LLM
Participated in DataHour: The Generative AI, Good & Bad with Real World Examples
Participated in DataHour: NLP Tasks Chaining with GenAI: How to Utilize Traditional NLP Knowledge in the World of LLMs?
Participated in DataHour: LLMs and Foundational Models in Ads Personalization
Participated in DataHour: Harnessing the Power of LLMs: A Deep Dive into Practical Solutions
Participated in DataHour: Building Complex Systems Using ChatGPT
Participated in DataHour: The Dangers of Dirty Data
Participated in DataHour: Advanced Generative AI and Data Storytelling
Participated in DataHour: The 3 Secrets to Giving a Great Data Presentation
Participated in DataHour: Crash Course on Data Visualization with Power BI
Participated in DataHour: Generative AI: The Responsible Path Forward
Participated in DataHour: Chat With Your Data- Dive into GPT Langchain LLM Framework
Participated in DataHour: Efficient Fine-Tuning of LLMs on single T4 GPU using Ludwig
Participated in DataHour: From Text to Video: Unraveling the Power and Pitfalls of Generative AI
Participated in DataHour: Unleashing Generative AI in Data Analytics
Participated in DataHour: The Ethical Frontiers of Generative AI
Participated in DataHour: Crafting Text-Based Conversations: Leveraging VertexAI, Langchain, and Streamlit
Participated in DataHour: How to Build a Generative AI Application?
Participated in DataHour: Applications of Data Science in Pricing
Participated in DataHour: Explainable AI: Demystifying the Black Box Models
Participated in DataHour: RAG to Reduce LLM Hallucination
Participated in DataHour: Demystifying Computer Vision
Participated in DataHour: Using Clinical Data Science to Improve Clinical Outcomes
Participated in DataHour: How LLMs Can Be Used in Day-to-Day Developer Tasks
Participated in DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
Participated in DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
Participated in DataHour: Generative AI- Training Pipelines and Advanced Strategies
Participated in DataHour: Supercharging LLM API Development with Fast API
Participated in DataHour: The Future of Autonomous Systems and How Humans Fit In
Participated in DataHour: Era of Gen AI
Participated in DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
Participated in DataHour: Diffusion Model Fundamentals and Various Applications
Participated in DataHour: Exploring Extended Reality- Going Beyond the Basics
Participated in DataHour: Exploring the Potential of Generative AI
Participated in DataHour: Attention From Scratch
Participated in DataHour: Mastering Sentiment Analysis through Generative AI: A Deep Dive
Participated in DataHour: Dreambooth- Stable Diffusion for Custom Images
Participated in DataHour: Training Your Own LLM Without Coding
Participated in DataHour: Introduction of Microsoft Fabric
Participated in DataHour: Application of Data Science in the world of FinTech
Participated in DataHour: LLM Fine Tuning with PEFT Techniques
Participated in DataHour: Cutting Edge Tricks of Applying Large Language Models
Participated in DataHour: Evaluation of GenAI Models and Search Use Case
Participated in DataHour: Building Large Language Models for Code
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
Participated in DataHour: Quantum Computing Applications in Financial Industry
Participated in DataHour: Practical Guide to Train Your Own Large Language Models
Participated in DataHour: Using Langchain with LLM
Participated in DataHour: Business Intelligence with Microsoft Power BI
Participated in DataHour: Paying Attention to Attention - A Deep Dive into Attention Models
Participated in DataHour: GEN AI - Image to Image Generation
Participated in DataHour: Unlocking Language Model Potential - The Power of Prompt Engineering
Participated in AMA: Generative AI & Career in Data Science / Data Analytics
Participated in DataHour: Introduction to LLMs: An Interactive Workshop
Participated in GANs- Explore the Boundaries of Generative Art
Participated in LangChain in Action: Crafting Innovative LLM Powered Applications
Participated in DataHour: Generative AI with LLMs
Participated in DataHour: Building Trust, Ethics and Privacy in Generative AI & LLM
Participated in DataHour: Generative AI using Azure Open AI
Participated in DataHour: Fine Tuning Generative Models
Participated in DataHour: Generative AI - Midjourney, Code Generation & Beyond
Participated in DataHour: Reducing chatGPT Hallucinations by 80%
Participated in Gen AI Meetup: Demystifying LLMs - Prompting and Applications in Data Science
Participated in DataHour: Building Bridges - The Art of Prompt Engineering
Participated in DataHour: LlamaIndex - QA Systems with Private Data and Effective Evaluation
Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python
Participated in DataHour: Titanic Machine Learning Case Study using Python
Participated in DataHour: Industrial Application of Large Language Models like ChatGPT
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: An Overview of Generative AI
Participated in DataHour: Exploring Dimensionality Reduction
Participated in DataHour: Generative AI and Large Language Models
Participated in DataHour: Geospatial Data Analysis
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: ChatGPT in Python for Beginners
Participated in DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
Participated in DataHour: What do Hiring Managers Look for in Data Scientists?
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Fine Tuning NLP Pipeline on Hugging Face
Participated in DataHour: A Beginner's Guide to Natural Language Processing
Participated in DataHour: An Overview of Named Entity Recognition(NER)
Participated in DataHour: Exploratory Data Analysis using Matplotlib and Seaborn
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: How to Become an AI/ML Cloud Architect?
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
Participated in DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: Deep Dive into Kubernetes and Concepts of Containerization
Participated in DataHour: Unlocking Business Growth - The Power of Customer Segmentation
Participated in DataHour: Build Your Career in Data Analytics
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: How to Start Your Career in Data Engineering with SQL and Python?
Participated in DataHour: Deep Dive on Transformers
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Personalizing Demand Planning Using Scenario Analysis
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: ChatGPT and the Future of NLP Systems
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: Transformers from Scratch
Participated in DataHour: Comparative Analysis in Qlik Sense
Participated in DataHour: Getting Started with Python
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Google Cloud Vertex AI Platform
Participated in DataHour: Apache Airflow - An Open Source Workflow Manager
Participated in DataHour: Data Availability Through Data Lake in Large Organization
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Deep Learning for Time Series Forecasting
Participated in DataHour: Conversational Intelligence & Interactive Bots
Participated in DataHour: Data Visualization in 3D with Unity 3D
Participated in DataHour: Application of Data Science in Insurance Industry
Participated in DataHour: Caching in Data Science
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Dataflow on Google Cloud
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: An Introduction to POS Tagging and Hidden Markov Model
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: How Good is AI for Conversations?
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: Mastering Guesstimate Interview Questions
Participated in DataHour: A Simple Guide to Deep Metric Learning
Participated in DataHour: Analyzing Data with SQL
Participated in DataHour: Building a Web Application using Flask
Participated in DataHour: Google Cloud No Code/Low Code AI Solutions
Participated in DataHour: Roadmap to Data Engineering for Beginners
Participated in DataHour: Contrastive Learning for Image Classification
Participated in DataHour: How to Start your Journey in Data Engineering?
Participated in DataHour: Data Architect vs Data Engineer
Participated in DataHour: Document Segmentation using Layout Parser
Participated in DataHour: Transforming HR with People Analytics
Participated in DataHour: Application of ML Classification Techniques in Banking Industry
Participated in DataHour: How to Forecast New Product Launches using Data Centric Approach
Participated in DataHour: The Art of Using GPT3 Power
Participated in DataHour: Everything You Need to Know About Pandas
Participated in DataHour: An Introduction to Vision for Robotics
Participated in DataHour: An Overview of Computer Vision
Participated in DataHour: Building Effective Data Pipelines
Participated in DataHour: Data Science in Banking Industry
Participated in DataHour: Text Classification for Beginners
Participated in DataHour: Understanding Energy Industry through EDA
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Metrics in Tech - Using Data to Drive Business Decisions
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: Solving Business Problems with Microsoft Excel
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: An Introduction to Spark for Data Engineering
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: Exploring the World of AI and its Career Opportunities
Participated in DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Visualising Geospatial Data in Python Using Geopandas
Participated in DataHour: Advanced Resume Shortlisting using NLP
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
Participated in DataHour: Making Data Pipelines Easy with Dataproc and Composer
Participated in DataHour: No-code ML Hands-on using Orange Data Mining Tool
Participated in DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
Participated in DataHour: Introduction to Docker
Participated in DataHour: Data Engineering - Tools and Techniques
Participated in DataHour: Image Classification using Deep Learning Models
Participated in DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
Participated in DataHour: Data Engineering in a Nutshell
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
Participated in DataHack Premier League 2018
Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
Participated in Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in ABInBev : Data Engineering Talent Hunt Hackathon
Participated in The Ultimate Student Hunt
Participated in Practice Problem: Strategic Thinking II
Participated in Experiments with Data
Participated in Skilltest: Machine Learning
Participated in DataHour: Blockchain 101
Participated in Skilltest: SAS
Participated in Skilltest: Dimensionality Reduction
Participated in #AVdatafest DATAHACK HOUR
Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry
Participated in Practice Problem: Skilltest - Machine Learning
Participated in DataFest Closing Ceremony
Participated in Webinar: Mission 2020, The future of careers in Machine Learning
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Experiments With Data
Participated in Skilltest: Statistics II
Participated in AV Express Online: Kickstart your Data Science career (Webinar)
Participated in #AVdatafest Launch Party & Panel Discussion
Participated in #AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
Participated in Webinar on Machine Learning & Advanced Analytics for Smart Cities
Participated in Webinar on AI - The Secret Sauce of Logistics
Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning
Participated in AV Learnup - Learn Data Science
Participated in Knocktober 2016
Participated in MiniHack: Machine Learning
Participated in MLWARE 2 - Recommendation Challenge
Participated in Webinar: Future of Big Data & Career Opportunities in Big Data World
Participated in #AVdatafest PowerTool: SQL
Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
Participated in #AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
Participated in #AVdatafest Webinar: Role of Spark in Big Data and Analytics
Participated in Webinar: New Age Skills for New Age Data Scientists
Participated in Fireside Chat with DJ Patil (Delhi NCR)
Participated in AV Casino : Introduction to Probability
Participated in Skilltest: Python for Data Science
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in Skilltest: Ensemble Modeling
Participated in Skilltest: SQL
Participated in #AVdatafest SkillPower: Probability
Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry
Participated in #AVdatafest PowerTool: R for Data Science
Participated in #AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up
Participated in Skilltest: Linear Regression
Participated in Skilltest: NLP
Participated in LearnUp at IIT Guwahati
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in Webinar on Careers in Artificial Intelligence: How to prepare for the future
Participated in New Frontiers In Deep Learning, (Meetup: Bangalore)
Participated in Rise of the Machines ( Meetup - Hyderabad)
Participated in Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit
Participated in Student DataFest 2018: The Data Supremacy
Participated in Black Friday Sales Prediction
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Webinar: Introduction to TensorFlow with Intel Optimizations
Participated in Experiments With Data
Participated in Webinar: Deep Learning and its Applications
Participated in The Strategic Monk
Participated in Skilltest: Tree Based Algorithms
Participated in McKinsey Analytics Online Hackathon
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Predict Number of Upvotes
Participated in Skilltest: Clustering
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI
Participated in Webinar: Building products in the AI era
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Webinar: Streaming Analytics - Future of Every Application
Participated in Practice Problem: Urban Sound Classification
Participated in Time Series Forecasting
Participated in Webinar: Problem Solving In Business Analytics and Data Science
Participated in Webinar: Business Analytics Isn't Just About Model Building
Participated in Age Detection of Actors
Participated in Recommendation Engine
Participated in JanataHack: NLP Hackathon
Participated in Webinar: Getting Started with Recommendation Engines
Participated in Webinar : How to Become a Data Scientist in 2019
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad)
Participated in Data & Beyond - IIM Bangalore
Participated in MLWARE 1 - Text Mining Challenge
Participated in Machine Learning Starter Program Hackathon
Participated in Webinar: Business Analytics Vs Data Science
Participated in HR Analytics
Participated in Webinar: Storytelling using Visualizations
Participated in Webinar: Introduction to Recommendation Systems using Deep Learning
Participated in Webinar: How to Deploy your ML Model?
Participated in Analytics Vidhya Hiring Hackathon
Participated in Webinar: An Introduction to Transfer Learning in NLP using HuggingFace
Participated in Webinar: Machine learning workflow in Julia
Participated in Webinar: Build your first BI Report with Power BI
Participated in Webinar: Beyond forecasting and predictions - Using Machine Learning to Control Real-World Systems
Participated in Webinar: Securing ML Models in Production
Participated in Food Demand Forecasting
Participated in Webinar: Data Science vs. Data Engineering - Can you really separate them?
Participated in HackLive - Guided Community Hackathon!
Participated in Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science
Participated in Identify the apparels (Fashion MNIST)
Participated in Face Counting Challenge
Participated in Big Mart Sales Prediction
Participated in HackLive 2 - Guided Community Hackathon!
Participated in Webinar: ML Model Building & Deployment
Participated in Twitter Sentiment Analysis
Participated in Joke Rating Prediction
Participated in Identify the Sentiments
Participated in Webinar: Career Transition Into Data Science
Participated in Webinar: Getting Started with Natural Language Processing
Participated in DataHour: Learning Path to Master Data Engineering in 2022
Participated in DataHour: Artificial Intelligence in Retail
Participated in Identify the Digits (MNIST)
Participated in Loan Prediction
Participated in DataHour: Introduction to Data-driven Decisions
Participated in DataHour: Think like a Data Scientist
Participated in Panel Discussion: How to Ace DS Competitions?
Participated in Data science Career Conclave
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
Participated in How to become a job-ready Data Scientist in 2021? Ask the student-mentor duo
Participated in Roadmap to become full-stack data professional
Participated in Write Powerful Data Science Articles
Participated in 10 Essential tips for Data Science Authors
Participated in DataHour: An Overview of Feature Engineering for Data Science
Participated in DataHour: Hands-on Workshop on Feature Engineering
Participated in DataHour: Data Science in a FAANG company!
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in DataHour: Effective Feature Engineering for Building Better Models
Participated in DataHour: Building smarter solutions with no expertise in machine learning
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Build and Operationalize your Machine Learning Model using Tableau Business Science
Participated in DataHour: How to Stay Relevant in the Booming World of AI?
Participated in DataHour: Build your first Chat-bot using Open Source Tools
Participated in DataHour: Traversing the Journey of an Analytics Problem
Participated in DataHour: Create Effective Data Science Notebooks and Communication
Participated in DataHour: How to transition into Data Science?
Participated in Football Hackathon
Participated in Pre-Bootcamp : Experience Live Learning - Perform Data Analysis using SQL!
Participated in DataHour: Introduction to Blockchain
Participated in DataHour: Introduction to Image Processing using Python
Participated in DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Introduction to Tensorflow Javascript
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Ask Kunal Anything About AI
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Careers in Data Science
Participated in DataHour: Data to Insightful Actions with No Code AI
Participated in DataHour: Building NLP applications using Hugging Face
Participated in Machine Learning Summer Training Hackathon
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Diving into Blockchain Development
Participated in DataHour: Text Pre-processing using NLTK and Python
Participated in DataHour: Data Management and AI
Participated in DataHour: Voting Dapp Smart Contracts
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: Deep Learning - Maths Behind Back-Propagation
Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
Participated in DataHour: Analyzing Movie Data using MongoDB
Participated in DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
Participated in DataHour: Data Visualization using Python
Participated in DataHour: Introduction to Explainable AI (XAI)
Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: Quantum Computing Simulator Acceleration
Participated in DataHour: Stirring up Data Science with SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Trees of Data Science
Participated in DataHour: Dynamic Time Warping for Time Series Classification
Participated in DataHour: Deep Dive into Practical Machine Learning with Career Insights
Participated in DataHour: Data Operations on Azure
Participated in DataHour: Jumpstart your Career with AWS AI/ML
Participated in DataHour: Nirvana State of MLOps
Participated in DataHour: Introduction to GAN - A Practical Approach
Participated in DataHour: Product Oriented Data Scientists
Participated in DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
Participated in DataHour: Anomaly detection using NLP and Predictive Modeling
Participated in DataHour: Data Science in Retail
Participated in DataHour: Data Science Data management using Pandas
Participated in DataHour: Mitigating Bias in Machine Learning
Participated in DataHour: Google Cloud AI/ML
Participated in DataHour: Forecasting Stories
Participated in DataHour: Energy Data Science - Project From Scratch
Participated in DataHour: Explainable AI - Need and Implementation
Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: How to tackle Overfitting?
Participated in DataHour: Sentiment Analysis from Scratch!
Participated in DataHour: Hands-on with A/B Testing
Participated in DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
Participated in DataHour: Blockchain Use Cases with Case Studies
Participated in DataHour: Building Data Pipelines on GCP
Participated in DataHour: StableCoin - Backbone of Cryptocurrency
Participated in DataHour: ERC Tokens in Hyperledger Fabric
Participated in DataHour: An Introduction to AWS EMR
Participated in DataHour: Modern Deep Learning Architecture
Participated in DataHour: 5 things you should know about Azure SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Everything You Need to Know About Numpy
Participated in DataHour: How to Build Interactive Dashboards using Power BI and Excel
Participated in DataHour: Introduction To BigQuery ML
Participated in DataHour: Overview of Blockchain and Data
Participated in DataHour: Using Word & Document Embeddings for Sentiment Analysis
Participated in DataHour: Time Series analysis using LSTM
Participated in DataHour: How to become the G.O.A.T of Data Science in 2023?
Participated in DataHour: AI & ML in the Automotive Industry
Participated in DataHour: Topic Modeling using Transformer Based Embeddings
Participated in DataHour: ETL Pipelines in GCP
Participated in DataHour: Knowledge Graph Solutions using Neo4j
Participated in DataHour: Practical Time Series Analysis
Participated in DataHour: Building Machine Learning Models in BigQuery
Participated in DataHour: ChatGPT and the coming Generative AI Revolution
Participated in DataHour: Getting Started with Big Data
Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Participated in DataHour: An Introduction to Central Limit Theorem
Participated in DataHour: DCNN for Machine RUL Prediction using Time-series Data
Participated in DataHour: A Day in the Life of a Data Scientist
Participated in DataHour: Classification ML Model from Scratch
Participated in DataHour: NLP aspects in Telecommunication Industry
Participated in DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
Participated in DataHour: Visualizing Data using Python
Participated in DataHour: Getting Started with AWS EC2
Participated in DataHour: Model Guesstimation (MLOps)
Participated in DataHour: ML Model Interpretation and Evaluation
Participated in DataHour: An Unsupervised ML approach using Clustering
Participated in Telstra Innovation Hackathon 2022
Participated in DataHour: M in ML stands for Math & Magic
Participated in DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
Participated in DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
Participated in DataHour: Introduction to Federated Learning
Participated in DataHour: Extracting Value from Data
Participated in DataHour: Convolution Neural Network for Image Recognition
Participated in DataHour: AI in Banking
Participated in DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
Participated in DataHour: Data Engineering with Databricks
Participated in DataHour: Data Visualization in Data Science
Participated in DataHour: Ensemble Techniques in Machine Learning
Participated in DataHour: Artificial Intelligence Approach in Stock Market Analysis
Participated in DataHour: An Introduction to Measuring Marketing Channel Effectiveness
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: AI/ML Era in Customer Experience (CX)
Participated in DataHour: From Unstructured Text to Insights - Topic Modeling in NLP using LDA
Participated in DataHour: Introduction to Classification using Azure Machine Learning
Participated in DataHour: Hypothesis Testing A-Z
Participated in DataHour: Making AI work for Business
Participated in A Practical Approach to Kaggle Competition
Participated in DataHour: Master Yourself in Google Analytics
Participated in DataHour: How to Approach an ML Problem Statement from Scratch
Participated in DataHour: Diffusion Models for Generative Arts
Participated in DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
Participated in Skilltest: Deep Learning
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: Exploratory Data Analysis with F#
Participated in DataHour: The Art of Feature Engineering
Participated in DataHour: Product Based Case Studies for Data Science Interviews
Participated in DataHour: Causal Experimentations - When A/B Test is Not Possible
Participated in DataHour: An Introduction to the Metaverse
Participated in DataHour: Introduction to Positive Unlabelled(PU) Learning
Participated in DataHour: Document Understanding and OCR using Transformers
Participated in DataHour: Introduction and Hands-on workshop with Reinforcement Learning
Participated in DataHour: Using Data Science Methodology to Assess Equity in Communication
Participated in DataHour: Towards Data Storytelling
Participated in DataHour: Customer Data Science Models - Retail and CPG
Participated in DataHour: Data Science Use Cases
Participated in DataHour: Need for Self Supervised Learning - Practice at SAP
Participated in DataHour: Road to Data Science
Participated in DataHour: Applications of Machine Learning in Self Driving Cars
Participated in DataHour: Introduction to Blockchain & Metaverse
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in DataHour: Diving into the field of Data Analytics
Participated in DataHour: How to start your Kaggle journey?
Participated in DataHour: Practical Hypothesis Testing
Participated in DataHour: Steps before using an ML Model
Participated in DataHour: Tokenomics for Beginners
Participated in DataHour: Statistics in Data Science
Participated in DataHour: Understanding Dimensionality Reduction
Participated in DataHour: NFTs - Friend or FOMO?
Participated in DataHour: Web3 - Benefits, Adoption & Challenges
Participated in DataHour: Data Science Use Cases - Part 2
Participated in DataHour: An Empathetic AI for Healthcare
Participated in DataHour: Breakdown of Bitcoin
Participated in DataHour: GANs Revolutionizing the World!
Participated in DataHour: Fundamentals of Blockchain and Cryptocurrencies
Participated in DataHour: Data Warehouse and its importance in Data World
Participated in DataHour: HIV Analysis using ML and Flutter
Participated in DataHour: Churn Analytics in Telcos
Participated in DataHour: Introduction to Metaverses and the shift in Marketing Paradigms
Participated in DataHour: An Introduction to Extended Reality (XR)
Participated in DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
Participated in DataHour: Python Data Structures
Participated in DataHour: Application of ChatGPT and DALL-E
Participated in DataHour: Exploring Heart Disease Data using Python
Participated in DataHour: Evaluation Measures for Binary Classification
Participated in DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
Participated in DataHour: Natural Language Processing for Indian Languages
Participated in DataHour: SQL - Intermediate to Advanced
Participated in DataHour: Quantum Computing in Financial Industry
Participated in DataHour: Introduction to DAX and Case Study
Participated in DataHour: Big Data Architecture and the Best Practices on AWS
Participated in DataHour: How Data Science is used in Fintech?
Participated in DataHour: Transformer Architecture and its Applications
Participated in DataHour: NLP Interaction with Power BI
Participated in DataHour: Introduction to Dimensional Data Modelling
Participated in DataHour: Web 3.0 - Exploring the Unexplored
Participated in DataHour: Distinguishing Bot Text From Human Text Corpus
Participated in DataHour: Visualizing Data with Python
Participated in DataHour: Solving BI challenges with Power BI & Automate
Participated in DataHour: Bitcoin, Lightning Network and Adoption Trends
Participated in DataHour: Advance SQL - Analytics/Windows Functions
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: Demystifying Clustering in Topic Modeling Algorithms like BERTopic
Participated in DataHour: Importance of Statistics in Data Science and Machine Learning
Participated in DataHour: How do Algorithms Generate Recommendations?
Participated in DataHour: Classification Algorithms Evaluation Metrics
Participated in DataHour: Advanced Exploratory Data Analysis on Credit Data
Participated in DataHour: Conversational AI and its Uses
Participated in DataHour: Exploring Multi-label & Multi-class Classification
Participated in DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
Participated in DataHour: Ethereum Blockchain & Smart Contracts
Participated in DataHour: Train GPT2 on Indian Language Dataset
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
Participated in DataHour: Power-up Data Insights Leveraging Power BI
Participated in DataHour: Emerging Careers in Blockchain, Web3, NFTs and Metaverse
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Data Science Career - Myths vs Truths
Participated in DataHour: Diabetes Prediction Using Survival Analysis
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
Participated in DataHour: Analyzing Loan Application Data using Python
Participated in DataHour: Transforming Business Challenges into Data Driven Solution
Participated in DataHour: Hyperparameter Optimization Demystified
Participated in DataHour: Get Started with Hadoop
Participated in Query Domain Classification
Participated in DataHour: An Introduction to Apache Airflow
Participated in DataHour: An Introduction to Natural Language Processing
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Data Science for Business - From Theory to Practice
Participated in DataHour: Automate Repetitive Tasks using Excel VBA
Participated in DataHour: Launch Your Career in Data Science
Participated in DataHour: Understanding Logistic Regression
Participated in DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Exploring the Fundamentals of DeepMatch
Participated in DataHour: Building Python Dashboard using Plotly Dash
Participated in DataHour: YOLO Object Detection using Python
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
Participated in DataHour: An Introduction to Big Data Processing using Apache Spark
Participated in DataHour: Training Your First PyTorch Model
Participated in DataHour: Google BigQuery - The Modern Cloud Data Warehouse
Participated in DataHour: Understanding ChatGPT and its Use Cases
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python

Experience