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Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 493 .
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
Participated in Felicity : Kings of Machine Learning
Participated in Practice Problem: Strategic Thinking II
Registered in Practice Problem: Big Mart Sales III
Participated in Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
Participated in DataQuest - Data Science Hackathon (IIT Roorkee, Cognizance 2018)
Participated in DataHack Premier League 2018
Participated in DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
Registered in Practice Problem: Black Friday Sales Prediction
Registered in Practice Problem : Twitter Sentiment Analysis
Participated in Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad)
Registered in Practice Problem: Age Detection of Indian Actors
Registered in Practice Problem: Loan Prediction III
Participated in Data Science Hackathon: Churn Prediction
Registered in Practice Problem: Urban Sound Classification
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Lord of the Machines: Data Science Hackathon
Participated in Student DataFest 2018: The Data Identity
Participated in Webinar on Careers in Artificial Intelligence: How to prepare for the future
Participated in VISTA codeFest Computer Vision
Participated in Enigma codeFest Machine Learning
Participated in Linguipedia codeFest Natural Language Processing
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Registered in Practice Problem: HR Analytics
Registered in Practice Problem: Face Counting Challenge
Registered in Practice Problem: Identify the Sentiments
Registered in Practice Problem: Predict Number of Upvotes