Prasad

Prasad Vaidya

Hackathons
1593
Rank
11
Points
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Machine Learning in Agriculture
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in Janatahack: Healthcare Analytics
Participated in Felicity : Kings of Machine Learning
Participated in Lord of the Machines: Data Science Hackathon
Participated in DataHack Premier League 2018
Participated in McKinsey Hiring Hack
Participated in Black Friday Data Hack
Participated in Mini DataHack
Participated in Date Your Data
Participated in Mini Hack : Excel
Participated in AVdatafest : Experiments With Data
Participated in AVdatafest : The Creative Analyst
Participated in Re-Date Your Data: Learning Contest
Participated in Black Friday Sales Prediction
Participated in AVdatafest : The Seer's Accuracy
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in Big Mart Sales Prediction
Participated in Mini Hack : Strategic Thinking
Participated in Mini Hack : Data Visualization
Participated in Age Detection of Actors
Participated in Student DataFest 2018: The Data Supremacy
Participated in Twitter Sentiment Analysis
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in Predict Number of Upvotes
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in JanataHack: HR Analytics
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in McKinsey Analytics Online Hackathon
Participated in Capillary Machine Learning Hackathon
Participated in HR Analytics
Participated in JanataHack: Mobility Analytics
Participated in Club Mahindra DataOlympics
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in Food Demand Forecasting
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in WNS Analytics Wizard 2019
Participated in India ML Hiring Hackathon 2019
Participated in Webinar: Streaming Analytics - Future of Every Application
Participated in JanataHack: Machine Learning for IoT
Participated in Identify the Digits (MNIST)
Participated in Time Series Forecasting
Participated in Practice Problem: Urban Sound Classification
Participated in LTFS Data Science FinHack 2
Participated in Student DataFest 2018: The Data Identity
Participated in DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
Participated in Analytics Vidhya Hiring Hackathon
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Demand Forecasting
Participated in JanataHack: Recommendation Systems
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Loan Prediction
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: How to transition into Data Science?
Participated in DataHour: Data Science in a FAANG company!
Participated in DataHour: Build your first Chat-bot using Open Source Tools
Participated in DataHour: Create Effective Data Science Notebooks and Communication
Participated in DataHour: Traversing the Journey of an Analytics Problem
Participated in DataHour: Introduction to Blockchain
Participated in Football Hackathon
Participated in DataHour: Introduction to Image Processing using Python
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 Tensorflow Javascript
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Ask Kunal Anything About AI
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters

Experience