Participated in
[Student DataFest 2018] Skilltest - Statistics and Probability
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Participated in
SVM Skilltest
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Participated in
Student DataFest 2018: The Data Identity
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Participated in
Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India
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Participated in
Genpact Machine Learning Hackathon
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Participated in
Data Science Hackathon - Cross-sell: target the right customer
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Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
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Participated in
DataHour: Continuous Testing and Evaluation with LLMs
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Participated in
DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
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Participated in
DataHour: Unwritten Rules for Success in Machine Learning
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Participated in
DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
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Participated in
DataHour: Machine Learning Tips and Tricks
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Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
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Participated in
DataHour: Handling Satellite and Geospatial Raster Data in Python
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Participated in
DataHour: Titanic Machine Learning Case Study using Python
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Participated in
DataHour: Statistics with Python for Data Science
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Participated in
DataHour: Exploring Dimensionality Reduction
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Participated in
DataHour: Web Scraping using Python Libraries
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Participated in
DataHour: Introduction to Social Network Analysis
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Participated in
DataHour: Understanding Logistic Regression and Decision Tree Analysis
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Participated in
DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
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Participated in
DataHour: Deep Dive into Kubernetes and Concepts of Containerization
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Participated in
DataHour: An Introduction to Machine Learning with Sequence Data
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Participated in
DataHour: FIFA World Cup Match Analysis Using Python
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Participated in
DataHour: Basics of Big Data File Formats
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Participated in
DataHour: Getting Started with Python
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Participated in
DataHour: Generating Labeled Data through Weak Supervision
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Participated in
DataHour: Google Cloud Vertex AI Platform
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Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
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Participated in
DataHour: Data Availability Through Data Lake in Large Organization
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Participated in
DataHour: Feature Engineering and Selection for Machine Learning
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Participated in
DataHour: Best of Pandas & The Power of Simple Models
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Participated in
DataHour: Caching in Data Science
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Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
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Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
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Participated in
DataHour: Dataflow on Google Cloud
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Participated in
DataHour: Forecasting & Time-series Analysis
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Participated in
DataHour: Boosting Performance with Ensemble Methods
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Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
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Participated in
DataHour: Feature Engineering and benefits of EDA
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Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
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Participated in
DataHour: Analyzing Data with SQL
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Participated in
DataHour: Building a Web Application using Flask
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Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
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Participated in
DataHour: Roadmap to Data Engineering for Beginners
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Participated in
DataHour: Data Architect vs Data Engineer
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Participated in
DataHour: Transforming HR with People Analytics
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Participated in
DataHour: Application of ML Classification Techniques in Banking Industry
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Participated in
DataHour: How to Forecast New Product Launches using Data Centric Approach
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Participated in
DataHour: Everything You Need to Know About Pandas
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Participated in
DataHour: Building Effective Data Pipelines
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Participated in
DataHour: Deep Dive into Airflow Components
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Participated in
DataHour: Exploring the Best Book Sellers Dataset
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Participated in
DataHour: Data Preparation and Feature Engineering in ML
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Participated in
DataHour: Unlocking the Power of Embeddings
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Participated in
DataHour: An Introduction to Spark for Data Engineering
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Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
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Participated in
DataHour: A/B testing - Theory, Practice and Pitfalls
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Participated in
DataHour: Understanding Graph Data Science
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Participated in
DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
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Participated in
DataHour: Salary Analysis and Prediction Using ML
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Participated in
DataHour: Data Wrangling Using Geospatial Data in Python
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Participated in
DataHour: Diabetic Patients’ Readmission Prediction using ML
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Participated in
DataHour: Making Data Pipelines Easy with Dataproc and Composer
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Participated in
DataHour: No-code ML Hands-on using Orange Data Mining Tool
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Participated in
DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
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Participated in
DataHour: Introduction to Docker
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Participated in
DataHour: Data Engineering - Tools and Techniques
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Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
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Participated in
DataHour: Data Engineering in a Nutshell
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Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
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Participated in
Lord of the Machines: Data Science Hackathon
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Participated in
DataHack Premier League 2018
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Participated in
Recommendation Engine
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Participated in
DATA TALES – Beyond Infinity (Great Lakes Institute of Management, Chennai)
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Participated in
Student Hunt 2017
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Participated in
Internship Challenge - Analytics Vidhya (Web Development)
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Participated in
MLWARE 2 - Recommendation Challenge
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Participated in
AV LearnUp Mumbai: Marketing Analytics in Banking & Finance
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Participated in
Data Science Interview Preparation Test
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Participated in
Skilltest: Tree Based Models
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Participated in
Practice Problem: Skilltest - Machine Learning
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Participated in
Data Science Hackathon: Churn Prediction
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Participated in
Internship Challenge - Analytics Vidhya (Data Science)
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Participated in
The Strategic Ball
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Participated in
Practice Problem: Strategic Thinking II
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Participated in
Skilltest: Clustering
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Participated in
Skilltest: Deep Learning
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Participated in
Strategic Sprint Mar 2017
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Participated in
AV LearnUp Bengaluru: Marketing & Social Media Analytics
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Participated in
Skilltest: k-Nearest Neighbor (kNN)
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Participated in
Click Prediction Hackathon
|
Participated in
Big Mart Sales Prediction
|
Participated in
Internship Challenge Round 2- Analytics Vidhya (Data Science)
|
Participated in
AV Express Online: Kickstart your Data Science career (Webinar)
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Participated in
Age Detection of Actors
|
Participated in
Experiments with Data
|
Participated in
Student DataFest 2018: The Data Supremacy
|
Participated in
Joke Rating Prediction
|
Participated in
Webinar : How to Become a Data Scientist in 2019
|
Participated in
AmExpert 2018 (Machine Learning Hackathon)
|
Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
|
Participated in
Fractal Analytics Hiring Hackathon
|
Participated in
Food Demand Forecasting
|
Participated in
HR Analytics
|
Participated in
Webinar: Storytelling using Visualizations
|
Participated in
JanataHack: Machine Learning for IoT
|
Participated in
Capillary Machine Learning Hackathon
|
Participated in
Practice Problem: Intel Scene Classification Challenge
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Participated in
JanataHack: Time Series Forecasting
|
Participated in
Machine Learning Starter Program Hackathon
|
Participated in
Skilltest: Regression
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Participated in
The Strategic Saviour
|
Participated in
JanataHack: Mobility Analytics
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Participated in
India ML Hiring Hackathon 2019
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Participated in
Innoplexus Online Hackathon: Machine Learning Challenge
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Participated in
WNS Analytics Wizard 2019
|
Participated in
MLWARE 1 - Text Mining Challenge
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Participated in
Enigma codeFest Machine Learning
|
Participated in
Predict Number of Upvotes
|
Participated in
Twitter Sentiment Analysis
|
Participated in
McKinsey Analytics Online Hackathon- Recommendation Design
|
Participated in
Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad)
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Participated in
The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
|
Participated in
Felicity : Kings of Machine Learning
|
Participated in
JanataHack: Demand Forecasting
|
Participated in
Janatahack: Healthcare Analytics II
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Participated in
JanataHack: HR Analytics
|
Participated in
JanataHack: Machine Learning for Banking
|
Participated in
JanataHack: Recommendation Systems
|
Participated in
Janatahack: Healthcare Analytics
|
Participated in
[Student DataFest 2018] Skilltest - Python for Data Science
|
Participated in
Janatahack: Customer Segmentation
|
Participated in
Loan Prediction
|
Participated in
Janatahack: Machine Learning in Agriculture
|
Participated in
LTFS Data Science FinHack 3
|
Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
Participated in
Janatahack: Cross-sell Prediction
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Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
|
Participated in
Football Hackathon
|
Participated in
Data Science Blogathon - 26
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Participated in
Dataverse Hack: Build an AI Model to Save Lives
|
Participated in
DataHour: SQL - Intermediate to Advanced
|
Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
|
Participated in
DataHour: Advance SQL - Analytics/Windows Functions
|
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: Exploring Multi-label & Multi-class Classification
|
Participated in
DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
|
Participated in
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
|
Participated in
DataHour: Building Cloud Native Data Pipelines
|
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: Hyperparameter Optimization Demystified
|
Participated in
DataHour: Get Started with Hadoop
|
Participated in
DataHour: An Introduction to Apache Airflow
|
Participated in
DataHour: Introduction to Optimization using Genetic Algorithms
|
Participated in
DataHour: Understanding Logistic Regression
|
Participated in
DataHour: Anomaly Detection in Time Series Data
|
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: Google BigQuery - The Modern Cloud Data Warehouse
|
Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
|
Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
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