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Registered in AmExpert 2019 – Machine Learning Hackathon
Registered in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 640 .
Participated in WNS Analytics Wizard 2019 and secured rank 556 .
Participated in Practice Problem: Intel Scene Classification Challenge and secured rank 116 .
Participated in Capillary Machine Learning Hackathon
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured rank 153 .
Participated in Innoplexus Online Hiring Hackathon Sentiment Analysis and secured rank 586 .
Participated in QuantumBlack Hackathon
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 778 .
Registered in Practice Problem: HR Analytics
Participated in Club Mahindra DataOlympics and secured rank 300 .
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Genpact Machine Learning Hackathon and secured rank 157 .
Registered in Practice Problem: Recommendation Engine
Registered in Practice Problem: Joke Rating Prediction Challenge
Registered in Practice Problem : Twitter Sentiment Analysis
Registered in Practice Problem: Identify the apparels
Registered in Practice Problem: Black Friday Sales Prediction
Registered in Practice Problem: Identify the Digits
Registered in Practice Problem: Urban Sound Classification
Registered in Practice Problem: Age Detection of Indian Actors
Registered in Practice Problem: Time Series
Registered in Practice Problem: Loan Prediction III
Registered in Practice Problem: Big Mart Sales III
Participated in Practice Problem: Strategic Thinking II
Registered in Practice Problem: Food Demand Forecasting Challenge