Rushikesh Wayal

image
  • 123
    Rank
  • 91
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

x 1

Top 10

About Rushikesh Wayal

Member Since March 10, 2019, 2:28 p.m.
Location None
Area of Interest IIT KGP

Activity

No blogs found

No Discussions found

Participated in QuantumBlack Hackathon and secured rank 91
Participated in Club Mahindra DataOlympics and secured rank 292
Participated in WNS Analytics Wizard 2019 and secured rank 176
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 855
Participated in LTFS Data Science FinHack 2 and secured rank 621
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud) and secured rank 73
Participated in India ML Hiring Hackathon 2019 and secured rank 9
Participated in Game of Deep Learning: Computer Vision Hackathon and secured rank 148
Participated in Practice Problem: Intel Scene Classification Challenge and secured rank 82
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI
Participated in Face Counting Challenge
Participated in Food Demand Forecasting
Participated in Identify the apparels (Fashion MNIST)
Participated in Intel AI Enterprise Meetup - Bengaluru (Invite-Only)
Participated in Analytics Vidhya Internship Challenge
Participated in Time Series Forecasting
Participated in HR Analytics
Participated in Intel AI Enterprise Meetup - Mumbai (Invite-Only)
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Identify the Sentiments
Participated in Predict Number of Upvotes
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in All India Data Science - Student Scholarship Test
Participated in Loan Prediction
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.