vsagar19

vsagar19

Hackathons
1593
Rank
11
Points
Participated in DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
Participated in DataHour: Rust and Python in the age of LLMOps
Participated in DataHour: Full-Stack Data Science with FastAPI
Participated in Better Data Understanding Through GenAI Powered Search
Participated in DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
Participated in DataHour: Responsible Use of Generative AI
Participated in DataHour: Creating Delightful Customer Experience with RAG
Participated in DataHour: The Future of GenAI
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 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 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 Club Mahindra DataOlympics
Participated in DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
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: Model Explainability and Model Diagnosis
Participated in DataHour: Large Language Models for India
Participated in DataHour: Introduction to Convolutional Neural Networks
Participated in DataHour: Visualizing Insights: Understanding Data Visualization Techniques
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 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: High Impact AI/ML Solutions by Effective Formulation
Participated in DataHour: Democratising AI Deployment
Participated in DataHour: LLM Training Tips & Tricks
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: 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 Fractal Analytics Hiring Hackathon
Participated in SVM Skilltest
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 Skilltest: Deep Learning
Participated in Skilltest: Logistic Regression
Participated in DataHour: Business Intelligence with Microsoft Power BI
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: Supercharging LLM API Development with Fast API
Participated in DataHour: The Future of Autonomous Systems and How Humans Fit In
Participated in DataHour: Generative AI- Training Pipelines and Advanced Strategies
Participated in DataHour: Era of Gen AI
Participated in DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
Participated in DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
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: 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: 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 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: Fine Tuning Generative Models
Participated in DataHour: Generative AI using Azure Open AI
Participated in DataHour: Generative AI - Midjourney, Code Generation & Beyond
Participated in DataHour: Reducing chatGPT Hallucinations by 80%
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: ChatGPT in Python for Beginners
Participated in DataHour: Generative AI and Large Language Models
Participated in DataHour: An Overview of Generative AI
Participated in DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
Participated in Time Series Forecasting
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in Black Friday Sales Prediction
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Fireside Chat with DJ Patil (Delhi NCR)
Participated in Skilltest: Regression
Participated in Age Detection of Actors
Participated in Experiments With Data
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in Practice Problem: Strategic Thinking II
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
Participated in McKinsey Analytics Online Hackathon
Participated in Webinar: Introduction to TensorFlow with Intel Optimizations
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Loan Prediction
Participated in Click Prediction Hackathon
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in McKinsey Hiring Hack
Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in Skilltest: SQL
Participated in Data Science Blogathon - 10

Experience

Designation Associate
Company Cognizant
Duration None - Present
Job Profile Machine learning , Predictive Analytics, Data Science

Education

Course Any other Degree
University Uttar Pradesh Technical University
Duration None - Present
Job Profile

Skill

r