jay

image
  • 475
    Rank
  • 32
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

x 1

Top 25

About jay

Member Since Feb. 4, 2015, 10:08 a.m.
Location Bangalore
Area of Interest R, Python, Machine Learning, d3.js

Activity

No blogs found

No Discussions found
Participated in Fractal Analytics Hiring Hackathon and secured rank 91
Participated in Genpact Machine Learning Hackathon and secured rank 409
Participated in AVdatafest : The Seer's Accuracy and secured rank 92
Participated in WNS Analytics Wizard 2019 and secured rank 155
Participated in India ML Hiring Hackathon 2019 and secured rank 229
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack and secured rank 72
Participated in McKinsey Analytics Online Hackathon and secured rank 83
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 347
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics and secured rank 173
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured rank 167
Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 305
Participated in Knocktober 2016 and secured rank 104
Participated in Mind Your Strategy and secured rank 455
Participated in Club Mahindra DataOlympics and secured rank 282
Participated in ML Hikeathon (An Online Machine Learning Hackathon) and secured rank 71
Participated in Mini Datahack and secured rank 21
Participated in AmExpert 2019 – Machine Learning Hackathon and secured rank 181
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 434
Participated in The Smart Recruits and secured rank 235
Participated in DataHack Premier League 2018
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in Mini Hack : Strategic Thinking
Participated in Big Mart Sales Prediction
Participated in Skilltest: Statistics
Participated in Skilltest : R for Data Science
Participated in AV Casino : Introduction to Probability
Participated in The Strategic Monk
Participated in Data Science Hackathon: Churn Prediction
Participated in Experiments With Data
Participated in Practice Problem: Strategic Thinking II
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Mini Hack : Data Visualization
Participated in AVdatafest : The Creative Analyst
Participated in Click Prediction Hackathon
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in JanataHack: NLP Hackathon
Participated in Capillary Machine Learning Hackathon
Participated in McKinsey Analytics Online Hackathon
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in JanataHack: Mobility Analytics
Participated in HR Analytics and secured rank 347
Participated in QuantumBlack Hackathon
Participated in JanataHack: HR Analytics
Participated in JanataHack: Machine Learning for IoT
Participated in LTFS Data Science FinHack 2
Participated in Food Demand Forecasting
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Machine Learning Starter Program Hackathon
Participated in JanataHack: Time Series Forecasting
Participated in Janatahack: Healthcare Analytics
Participated in JanataHack: Demand Forecasting
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Recommendation Systems
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.