sowmiyanm

sowmiyanm

Hackathons
598
Rank
28
Points
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Date Your Data
Participated in Click Prediction Hackathon
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in #AVdatafest SkillPower: Machine Learning
Participated in Re-Date Your Data: Learning Contest
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in #AVdatafest SkillPower: Time Series
Participated in Mini Hack : Strategic Thinking
Participated in Codefest: Enigma
Participated in Mini Datahack
Participated in #AVdatafest: The Strategic Thor
Participated in McKinsey Analytics Online Hackathon
Participated in Mini DataHack
Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
Participated in #AVdatafest PowerTool: R for Data Science
Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry
Participated in Identify the Digits (MNIST)
Participated in Black Friday Data Hack
Participated in Mini Hack : Excel
Participated in #AVdatafest DATAHACK HOUR
Participated in Loan Prediction
Participated in Age Detection of Actors
Participated in Data Science Hackathon: Churn Prediction
Participated in Skilltest: Statistics II
Participated in Data Science Interview Preparation Test
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning
Participated in LearnUp Delhi : Learn Data Science from Scratch
Participated in AVdatafest : Experiments With Data
Participated in Experiments With Data
Participated in Skilltest: SQL
Participated in Practice Problem: Urban Sound Classification
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in Big Mart Sales Prediction
Participated in Felicity : Kings of Machine Learning
Participated in Webinar: An Introduction to Transfer Learning in NLP using HuggingFace
Participated in DataHour: Bias and Fairness in NLP

Experience