| Participated in DataHour: LLM Fine-tuning for Beginners with Unsloth |
| Participated in DataHour: Large Language Models: Foundation, Evolution and Applications |
| Participated in DataHour: Introduction to Serving Machine Learning Models as Microservices |
| Participated in DataHour: Innovative Applications of Artificial Intelligence |
| Participated in DataHour: Real-World REST APIs with Docker Containers |
| Participated in DataHour: Building Robust RAG Applications for the Real-World |
| Participated in DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach |
| Participated in Loan Prediction |
| Participated in DataHour: Continuous Testing and Evaluation with LLMs |
| 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: Harnessing ML and NLP for Elevated Customer Experiences |
| 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 JanataHack: NLP Hackathon |
| Participated in DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future |
| Participated in DataHour:LangChain 101 |
| Participated in DataHour: Demystifying HugginFace, LlamaIndex, and LangChain |
| Participated in DataHour: Building Generative AI Applications using Amazon Bedrock |
| 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 WNS Triange Hackquest |
| 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 HackLive 3: Guided Hackathon - NLP |
| 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 Twitter Sentiment Analysis |
| Participated in Identify the Sentiments |
| Participated in Football Hackathon |
| 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: Democratising AI Deployment |
| Participated in DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0 |
| Participated in Ripik.AI HackFest: Unleashing AI Potential |
| 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: Production Stack for LLMs |
| Participated in DataHour: Era of AI-Assisted Innovation |
| Participated in DataHour: Building Multi-Stage Reasoning Systems with LangChain |
| Participated in DataHour: Securing LLM-Based Applications |
| Participated in DataHour: The Dangers of Dirty Data |
| 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: Business Intelligence with Microsoft Power BI |
| Participated in Phir Ek Mauka Hack: Ind vs Pak Cricket Hackathon |
| Participated in DataHour: Building Complex Systems Using ChatGPT |
| 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: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs |
| Participated in DataHour: Generative AI- Training Pipelines and Advanced Strategies |
| Participated in DataHour: Era of Gen AI |
| 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 GenAI Meetup: Large Language Models |
| Participated in DataHour: Building Large Language Models for Code |
| Participated in DataHour: Quantum Computing Applications in Financial Industry |
| Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs |
| Participated in Data Science Blogathon - 35 |
| Participated in Gen AI Meetup: Demystifying LLMs - Prompting and Applications in Data Science |
| Participated in Data Science Blogathon - 30 |
| Participated in Mini Datahack |
| Participated in Mini Hack : Strategic Thinking |
| Participated in AVdatafest : The Seer's Accuracy |
| Participated in McKinsey Hiring Hack |
| Participated in AVdatafest : The Creative Analyst |
| Participated in Mini Hack : Data Visualization |
| Participated in Re-Date Your Data: Learning Contest |
| Participated in Date Your Data |
| Participated in Mini DataHack |
| Participated in LNMIIT DataHack |
| Participated in Praxis Data Hackathon |
| Participated in Black Friday Data Hack |
| Participated in H2O world |
| Participated in The D Hack |
| Participated in Felicity : Kings of Machine Learning |
| Participated in LearnUp - Learn Data Science From Scratch |
| Participated in Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad) |
| Participated in McKinsey Analytics Online Hackathon- Recommendation Design |
| Participated in Recommendation Engine |
| Participated in [Student DataFest 2018] Skilltest - Decision Trees and K-Means |
| Participated in Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad) |
| Participated in Establishing Your Data Science Career Abroad (Hyderabad Meetup) |
| Participated in AV LearnUp Bengaluru : Data Science in Finance |
| Participated in Knocktober 2016 and secured rank 85 |
| Participated in The Strategic Saviour |
| Participated in Skilltest: Tree Based Algorithms |
| Participated in Skilltest: Regression |
| Participated in Skilltest: SQL |
| Participated in Skilltest: SAS |
| Participated in Practice Problem: Skilltest - Machine Learning |
| Participated in Blogathon 3 |
| Participated in Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India |
| Participated in AV Express Online: Kickstart your Data Science career (Webinar) |
| Participated in #AVdatafest PowerTool: SQL |
| Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading |
| Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry |
| Participated in #AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics |
| Participated in DataCon - Big Data Analytics Workshop | Hyderabad |
| Participated in AV LearnUp Chennai: NLP and its Application in Social Media Analytics |
| Participated in Age Detection of Actors |
| Participated in AV Experts Meet Bengaluru (Advanced ML Problem Solving) |
| Participated in Blogathon |
| Participated in AV Experts Meet Delhi NCR (Advanced ML Problem Solving) |
| Participated in Webinar: Automated Machine Learning using MLBox python package |
| Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning |
| Participated in [Delhi NCR] Meetup on Careers in Analytics by ISB and Analytics Vidhya |
| Participated in Strategic Sprint |
| Participated in Skilltest: Deep Learning |
| Participated in Skilltest: Ensemble Modeling |
| Participated in AV Express: Kickstart your Data Science career (Delhi NCR) |
| Participated in Strategic Sprint Mar 2017 |
| Participated in Webinar: Business Analytics Vs Data Science |
| Participated in #AVdatafest Launch Party & Panel Discussion |
| Participated in #AVdatafest PowerTool: Python for Data Science |
| Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry |
| 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 #AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up |
| Participated in Delhi NCR Meetup: Banking 2020 - An Analytics Perspective (Nagarro) |
| Participated in AV LearnUp Bengaluru: Marketing & Social Media Analytics |
| Participated in AV LearnUp Mumbai: Marketing Analytics in Banking & Finance |
| Participated in Skilltest: NLP |
| Participated in Skilltest: Linear Regression |
| Participated in Webinar : How to crack Big Data & Data Science roles |
| Participated in Skilltest: Tree Based Models |
| Participated in Skilltest: k-Nearest Neighbor (kNN) |
| Participated in Webinar on Machine Learning & Advanced Analytics for Smart Cities |
| Participated in AV LearnUp Bengaluru: Data Science in Healthcare |
| Participated in Webinar on AI - The Secret Sauce of Logistics |
| Participated in AV LearnUp Chennai: Exploratory Data Analysis |
| Participated in Know Show: Article Writing Competition by NMIMS, Hyderabad |
| Participated in Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track) |
| Participated in Skilltest: Machine Learning |
| Participated in Internship Challenge Round 2- Analytics Vidhya (Data Science) |
| Participated in Skilltest: Clustering |
| Participated in Webinar: Future of Big Data & Career Opportunities in Big Data World |
| Participated in AV Express: Kickstart your Data Science career (Mumbai) |
| Participated in AV Express: Kickstart your Data Science career (Chennai) |
| Participated in #AVdatafest SkillPower: Deep Learning and secured rank 240 |
| Participated in The Strategic Ball and secured rank 473 |
| Participated in #AVdatafest PowerTool: R for Data Science |
| Participated in #AVdatafest Rise of the Hero: Write Your Story |
| Participated in #AVdatafest The Mightiest Pen : Blogging Competition |
| Participated in #AVdatafest SkillPower: Time Series |
| Participated in DataFest Closing Ceremony |
| Participated in Webinar: New Age Skills for New Age Data Scientists |
| Participated in Skilltest: Deep Learning |
| Participated in Skilltest: Logistic Regression |
| Participated in AV LearnUp Mumbai: Exploratory Data Analysis |
| Participated in AV LearnUp Hyderabad: Exploratory Data Analysis |
| Participated in AV Experts Meet Mumbai (Advanced ML Problem Solving) |
| Participated in Webinar: Building products in the AI era |
| Participated in Practice Problem: Strategic Thinking II |
| Participated in Blogathon 2 |
| Participated in Data Science Interview Preparation Test |
| Participated in What's your story? |
| Participated in Internship Challenge - Analytics Vidhya (Web Development) |
| Participated in Internship Challenge - Analytics Vidhya (Data Science) |
| Participated in AV Express: Kickstart your Data Science career (Bengaluru) |
| Participated in #AVdatafest SkillPower: Machine Learning and secured rank 203 |
| Participated in #AVdatafest SkillPower: Probability |
| Participated in #AVdatafest: The Strategic Thor |
| Participated in #AVdatafest DATAHACK HOUR |
| Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack |
| Participated in Webinar: Mission 2020, The future of careers in Machine Learning |
| Participated in AV LearnUp Hyderabad: Marketing & Social Media Analytics |
| Participated in AV Experts Meet Hyderabad (Advanced ML Problem Solving) |
| Participated in Fireside Chat with DJ Patil (Delhi NCR) |
| Participated in Webinar: Can non programmers join Big Data and Data Science roles? |
| Participated in Identify the Digits (MNIST) |
| Participated in Black Friday Sales Prediction |
| Participated in Time Series Forecasting |
| Participated in Practice Problem: Urban Sound Classification |
| Participated in [Student DataFest 2018] Skilltest - Ensemble Learning |
| Participated in Machine Learning at Scale to Power Businesses (Bengaluru Meetup) |
| Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) |
| Participated in Scaling AI To Build Intelligent World (Gurgaon Meetup) |
| Participated in Webinar : How to Become a Data Scientist in 2019 |
| Participated in [Student DataFest 2018] Skilltest - Python for Data Science and secured rank 259 |
| Participated in The Bots Are Here (Bengaluru Meetup) |
| Participated in [Student DataFest 2018] Skilltest - Statistics and Probability |
| Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers and secured rank 15 |
| Participated in Identify the apparels (Fashion MNIST) |
| Participated in Joke Rating Prediction |
| Participated in Webinar on Careers in Artificial Intelligence: How to prepare for the future |
| Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning |
| Participated in New Frontiers In Deep Learning, (Meetup: Bangalore) |
| Participated in Rise of the Machines ( Meetup - Hyderabad) |
| Participated in HerTech Hackathon |
| Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon |
| Participated in Genpact Machine Learning Hackathon |
| Participated in MLWARE 1 - Text Mining Challenge |
| Participated in MLWARE 2 - Recommendation Challenge |
| Participated in MiniHack: Machine Learning |
| Participated in The Ultimate Student Hunt |
| Participated in Student DataFest 2018: The Data Supremacy |
| Participated in Experiments With Data |
| Participated in The Smart Recruits |
| Participated in Food Demand Forecasting |
| Participated in H2O Open Tour NYC Hackathon |
| Participated in Innoplexus Online Hackathon: Machine Learning Challenge |
| Participated in #chAI: AI in Finance (Bengaluru Meetup) |
| Participated in Webinar: How to crack analytics and machine learning interviews at campus placements? |
| Participated in Data Science All Hands (Delhi NCR Meetup) |
| Participated in Data Science Hackathon: Churn Prediction |
| Participated in Tredence (SQL Hackathon): Hack and Get Hired |
| Participated in Enabling The Future Of AI (Chennai Meetup) |
| Participated in Student DataFest 2018: The Data Identity and secured rank 51 |
| Participated in Practice Problem: Intel Scene Classification Challenge |
| Participated in McKinsey Analytics Online Hackathon |
| Participated in Data Science Hackathon - Cross-sell: target the right customer |
| Participated in Click Prediction Hackathon |
| Participated in Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit |
| Participated in Codefest: Linguipedia |
| Participated in Codefest: Enigma |
| Participated in Data & Beyond - IIM Bangalore 2017 |
| Participated in Fractal Analytics Hiring Hackathon |
| Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack |
| Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud) |
| Participated in Webinar: Introduction to TensorFlow with Intel Optimizations |
| Participated in Hyper Connected World: The AI IMPACT (Hyderabad Meetup) |
| Participated in The Convergence of BIG DATA and Machine Learning (Mumbai Meetup) |
| Participated in Capillary Machine Learning Hackathon |
| Participated in AmExpert 2018 (Machine Learning Hackathon) |
| Participated in Webinar How to Get Started with your Data Science Career |
| Participated in Community Meet: Rise of Super AI (Hyderabad Chapter) |
| Participated in The Convergence of BIG DATA and Machine Learning (Pune Meetup) |
| Participated in Webinar: How to Get Started with Natural Language Processing (NLP) |
| Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists |
| Participated in McKinsey Analytics Online Hackathon |
| Participated in HR Analytics |
| Participated in Face Counting Challenge |
| Participated in Predict Number of Upvotes |
| Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI |
| Participated in India ML Hiring Hackathon 2019 |
| Participated in Webinar: Deep Learning and its Applications |
| Participated in Delhi Meetup: Mining Networks by Hike |
| Participated in ML Hikeathon (An Online Machine Learning Hackathon) |
| Participated in Intel AI Enterprise Meetup - Bengaluru (Invite-Only) |
| Participated in WNS Analytics Wizard 2019 |
| Participated in Big Mart Sales Prediction |
| Participated in Club Mahindra DataOlympics |
| Participated in Webinar: Build a Recommendation Engine for Retail Data |
| Participated in Intel AI Enterprise Meetup - Mumbai (Invite-Only) |
| Participated in QuantumBlack Hackathon |
| Participated in Webinar: Problem Solving using AI - The QuantumBlack Story |
| Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 1262 |
| Participated in Webinar: Getting Started with Recommendation Engines |
| Participated in Community Meet: Rise of Super AI (Chennai Chapter) |
| Participated in Webinar: Streaming Analytics - Future of Every Application |
| Participated in Skilltest: Dimensionality Reduction |
| Participated in How to become a Data Scientist in 180 days? |
| Participated in Live Session: Data Science Immersive Bootcamp |
| Participated in AmExpert 2019 – Machine Learning Hackathon |
| Participated in AV Experts Meet Chennai (Advanced ML Problem Solving) |
| Participated in Webinar: Problem Solving In Business Analytics and Data Science |
| Participated in Vishleshan |
| Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew |
| Participated in Experiments with Data |
| Participated in Enigma codeFest Machine Learning |
| Participated in Linguipedia codeFest Natural Language Processing |
| Participated in VISTA codeFest Computer Vision |
| Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics |
| Participated in ABInBev : Data Engineering Talent Hunt Hackathon |
| Participated in ABInBev : Data Science Talent Hunt Hackathon |
| Participated in Lord of the Machines: Data Science Hackathon |
| Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India |
| Participated in DataHack Premier League 2018 |
| Participated in DataQuest - Data Science Hackathon (IIT Roorkee, Cognizance 2018) |
| Participated in Machine Learning Huddle: Hyderabad Meet-Up |
| Participated in AV LearnUp Mumbai: HR Analytics |
| Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science |
| Participated in Webinar: Introduction to Qlik Sense |
| Participated in Webinar: Using AI as Prediction Machines |
| Participated in Webinar: Business Analytics Isn't Just About Model Building |
| Participated in Webinar: Career Transition Into Data Science |
| Participated in Webinar: Storytelling using Visualizations |
| Participated in Webinar: Going Beyond your First ML Project |
| Participated in JanataHack: Machine Learning for IoT |
| Participated in Share & Empower |
| Participated in HackLive 4: Guided Community Hackathon! |
| Participated in Webinar: DS Careers – Which Role to go for? |
| Participated in Webinar: How to Deploy your ML Model? |
| Participated in Webinar: How early-stage start-ups can use AI & ML |
| Participated in Webinar: An Introduction to Transfer Learning in NLP using HuggingFace |
| Participated in Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science |
| Participated in Webinar: Getting Industry-Ready For Top Data Science Jobs |
| Participated in Webinar: Beyond forecasting and predictions - Using Machine Learning to Control Real-World Systems |
| Participated in Webinar: ML Model Building & Deployment |
| Participated in Game of Deep Learning: Computer Vision Hackathon |
| Participated in McKinsey Analytics Online Hackathon - Sales Excellence |
| Participated in Data Science Blogathon |
| Participated in Webinar: Build your first BI Report with Power BI |
| Participated in HackLive 2 - Guided Community Hackathon! |
| Participated in Webinar: Data Science vs. Data Engineering - Can you really separate them? |
| Participated in Webinar: With AI Dominating, How Secure is your Career? |
| Participated in Data Science Blogathon II |
| Participated in Webinar: Machine learning workflow in Julia |
| Participated in HackLive - Guided Community Hackathon! |
| Participated in Webinar: Getting Started with Natural Language Processing |
| Participated in JOB-A-THON |
| Participated in Webinar: Introduction to Recommendation Systems using Deep Learning |
| Participated in Ascend Pro Webinar: Your Questions, Our Answers |
| Participated in Webinar: Securing ML Models in Production |
| Participated in Ascend Pro Webinar: Your Questions, Our Answers |
| Participated in DataHour: Artificial Intelligence in Retail |
| Participated in Machine Learning Summer Training Hackathon |
| 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: Next Leap - Data Science Adoption to Application |
| Participated in Webinar: Ascend Pro: Your Questions, Our Answers |
| Participated in DataHour: Text-Based Classification using Artificial Intelligence |
| Participated in How to Write Powerful Articles to Build your Data Science Profile |
| Participated in Panel Discussion: How to Ace DS Competitions? |
| Participated in DataHour: Real-world Applications of Data science |
| Participated in DataHour: Bias and Fairness in NLP |
| Participated in DataHour: Using Data Science Methodology to Assess Equity in Communication |
| Participated in DataHour: Evaluation Measures for Binary Classification |
| Participated in All India Data Science - Student Scholarship Test |
| Participated in How I Landed my Dream Data Science Job? |
| Participated in Data Science Masterclass - Designing your First Dashboard in Tableau |
| Participated in JOB-A-THON - May 2021 |
| Participated in How to become a job-ready Data Scientist in 2021? Ask the student-mentor duo |
| Participated in How to become an industry-ready Data MASTERMIND in just 30 weeks? |
| Participated in Data Science Blogathon - 10 |
| Participated in Ascend Pro - Student Scholarship Test |
| Participated in Student Scholarship Test |
| Participated in Roadmap to become full-stack data professional |
| Participated in How to get Industry Ready for Data Science Jobs? |
| Participated in DataHour: An Overview of Feature Engineering for Data Science |
| Participated in Data Science Blogathon - 13 |
| Participated in Data Science Blogathon - 17 |
| Participated in Hack4Retail by McKinsey & Company and Fozzy Group |
| Participated in DataHour: Lessons Learned from Hundreds of Machine Learning Projects |
| Participated in DataHour: Efficient Implementations of Transformers |
| Participated in DataHour: Building smarter solutions with no expertise in machine learning |
| Participated in Pre-Bootcamp : Experience Live Learning - Build your First ML Model |
| Participated in DataHour: Learning Path to Master Data Engineering in 2022 |
| Participated in Data Science Blogathon - 19 |
| Participated in DataHour: Build your first Chat-bot using Open Source Tools |
| Participated in DataHour: Create Effective Data Science Notebooks and Communication |
| Participated in Pre-Bootcamp : Experience Live Learning - Perform Data Analysis using SQL! |
| Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP |
| Participated in DataHour: Traversing the Journey of an Analytics Problem |
| Participated in DataHour: Computer Vision Landscape |
| Participated in Janatahack: Cross-sell Prediction |
| Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph |
| Participated in DataHour: Understanding Search Query |
| Participated in DataHour: Introduction to Blockchain |
| Participated in DataHour: Data Science in a FAANG company! |
| Participated in DataHour: How to transition into Data Science? |
| Participated in DataHour: Introduction to Image Processing using Python |
| Participated in PreBootcamp - Build your first Industry Dashboard with PowerBI |
| Participated in DataHour: Ask Kunal Anything About AI |
| Participated in Skill Test: Python for Data Science |
| Participated in DataHour: Introduction to Tensorflow Javascript |
| Participated in DataHour: Causal Inference in Practice |
| Participated in DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure |
| Participated in DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks |
| Participated in DataHour: Introduction to MLOps |
| Participated in DataHour: Improving Search Results with Semantic Search |
| Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker |
| Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters |
| Participated in DataHour: Introduction to Interpretable Machine Learning |
| Participated in DataHour: Introduction to Network Science |
| Participated in DataHour: Building NLP applications using Hugging Face |
| Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI |
| Participated in DataHour: Hands-on with Social Network Analysis |
| Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP |
| Participated in DataHour: Building AI Applications in Minutes |
| Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN) |
| Participated in DataHour: Everything you need to know about Speech Recognition |
| Participated in DataHour: Deep Learning - Maths Behind Back-Propagation |
| Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition |
| Participated in Data Science Blogathon - 23 |
| Participated in DataHour: SQL- One of the Key Ingredients for Data Science |
| Participated in DataHour: Introduction to Optimization Problems for Data Scientists |
| Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts |
| Participated in DataHour: Data Visualization using Python |
| Participated in DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning |
| Participated in DataHour: Analyzing Movie Data using MongoDB |
| Participated in DataHour: Introduction to Explainable AI (XAI) |
| Participated in DataHour: Think like a Data Scientist |
| Participated in DataHour: Quantum Computing Simulator Acceleration |
| Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning |
| Participated in DataHour: MLOps—DevOps for Machine Learning |
| Participated in DataHour: Trees of Data Science |
| Participated in DataHour: Stirring up Data Science with SQL |
| Participated in DataHour: Prediction to Production in Machine Learning |
| Participated in DataHour: Deep Dive into Practical Machine Learning with Career Insights |
| Participated in DataHour: Dynamic Time Warping for Time Series Classification |
| Participated in DataHour: Data Operations on Azure |
| Participated in DataHour: Jumpstart your Career with AWS AI/ML |
| Participated in DataHour: Introduction to GAN - A Practical Approach |
| Participated in DataHour: Nirvana State of MLOps |
| Participated in DataHour: Product Oriented Data Scientists |
| Participated in DataHour: Mitigating Bias in Machine Learning |
| Participated in DataHour: Key steps for Designing Deep Neural Network and its scope in Industry |
| Participated in DataHour: Forecasting Stories |
| Participated in DataHour: Data Science Data management using Pandas |
| Participated in DataHour: Data Science in Retail |
| Participated in DataHour: Anomaly detection using NLP and Predictive Modeling |
| Participated in DataHour: Google Cloud AI/ML |
| Participated in DataHour: Energy Data Science - Project From Scratch |
| Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas |
| Participated in DataHour: Practical Applications of Data science in Ecommerce |
| Participated in DataHour: How to tackle Overfitting? |
| Participated in DataHour: Explainable AI - Need and Implementation |
| 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: The Fundamentals of Quantum Computing |
| Participated in DataHour: Building Data Pipelines on GCP |
| 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: ETL Pipelines in GCP |
| Participated in DataHour: Practical Time Series Analysis |
| Participated in DataHour: Building Machine Learning Models in BigQuery |
| Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification |
| Participated in DataHour: AI & ML in the Automotive Industry |
| 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: Knowledge Graph Solutions using Neo4j |
| Participated in DataHour: Visualizing Data using Python |
| Participated in DataHour: Getting Started with AWS EC2 |
| Participated in DataHour: Model Guesstimation (MLOps) |
| Participated in Telstra Innovation Hackathon 2022 |
| Participated in DataHour: M in ML stands for Math & Magic |
| Participated in DataHour: An Unsupervised ML approach using Clustering |
| 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: 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: 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: Introduction to Federated Learning |
| 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: AI/ML Era in Customer Experience (CX) |
| Participated in DataHour: Making AI work for Business |
| Participated in A Practical Approach to Kaggle Competition |
| Participated in DataHour: Diffusion Models for Generative Arts |
| Participated in DataHour: Applications of Optimization in On-demand Food and Grocery Delivery |
| Participated in Dataverse Hack: Build an AI Model to Save Lives |
| Participated in DataHour: Exploratory Data Analysis with F# |
| Participated in DataHour: How to Approach an ML Problem Statement from Scratch |
| Participated in DataHour: Causal Experimentations - When A/B Test is Not Possible |
| Participated in DataHour: The Art of Feature Engineering |
| Participated in DataHour: Hypothesis Testing A-Z |
| Participated in DataHour: Document Understanding and OCR using Transformers |
| Participated in DataHour: Introduction and Hands-on workshop with Reinforcement Learning |
| Participated in DataHour: Product Based Case Studies for Data Science Interviews |
| Participated in DataHour: Data Science Use Cases |
| Participated in DataHour: Need for Self Supervised Learning - Practice at SAP |
| Participated in AmExpert decipHER – Women Machine Learning Hackathon |
| Participated in DataHour: Road to Data Science |
| Participated in DataHour: Introduction to Positive Unlabelled(PU) Learning |
| Participated in DataHour: Customer Data Science Models - Retail and CPG |
| Participated in DataHour: Applications of Machine Learning in Self Driving Cars |
| 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 Dataverse Hack |
| Participated in DataHour: Steps before using an ML Model |
| Participated in DataHour: Statistics in Data Science |
| Participated in DataHour: Understanding Dimensionality Reduction |
| Participated in DataHour: Data Science Use Cases - Part 2 |
| Participated in DataHour: An Empathetic AI for Healthcare |
| Participated in DataHour: GANs Revolutionizing the World! |
| 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: An Introduction to Extended Reality (XR) |
| Participated in DataHour: Python Data Structures |
| Participated in Query Domain Classification |
