narendra

narendra sahu

Hackathons
115
Rank
93
Points
Participated in Mind Your Strategy
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in Club Mahindra DataOlympics
Participated in McKinsey Analytics Online Hackathon
Participated in Skilltest : R for Data Science
Participated in Strategic Sprint Mar 2017
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: NLP Hackathon
Participated in JanataHack: HR Analytics
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in JanataHack: Machine Learning for IoT
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in JanataHack: Mobility Analytics
Participated in QuantumBlack Hackathon
Participated in Skilltest: Statistics
Participated in WNS Triange Hackquest
Participated in Identify the apparels (Fashion MNIST)
Participated in Practice Problem: Strategic Thinking II
Participated in Experiments With Data
Participated in Experiments With Data
Participated in AV Casino : Introduction to Probability
Participated in Skilltest: Statistics II
Participated in MiniHack: Machine Learning
Participated in #AVdatafest SkillPower: Time Series
Participated in #AVdatafest: The Strategic Thor
Participated in Big Mart Sales Prediction
Participated in H2O Open Tour NYC Hackathon
Participated in #AVdatafest SkillPower: Probability
Participated in Data Science Interview Preparation Test
Participated in Date Your Data
Participated in Re-Date Your Data: Learning Contest
Participated in The Smart Recruits
Participated in Skilltest: Ensemble Modeling
Participated in #AVdatafest PowerTool: R for Data Science
Participated in Identify the Digits (MNIST)
Participated in VISTA codeFest Computer Vision
Participated in Age Detection of Actors
Participated in DataHack Premier League 2018
Participated in Practice Problem: Urban Sound Classification
Participated in Recommendation Engine
Participated in Time Series Forecasting
Participated in Loan Prediction
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in HerTech Hackathon
Participated in Predict Number of Upvotes
Participated in Capillary Machine Learning Hackathon
Participated in HR Analytics
Participated in Food Demand Forecasting
Participated in Joke Rating Prediction
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in India ML Hiring Hackathon 2019
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Twitter Sentiment Analysis
Participated in WNS Analytics Wizard 2019
Participated in Webinar: Introduction to Qlik Sense
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Machine Learning Starter Program Hackathon
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in Face Counting Challenge
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Machine Learning for Banking
Participated in LTFS Data Science FinHack 3
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Customer Segmentation
Participated in Webinar: Going Beyond your First ML Project
Participated in JanataHack: Recommendation Systems
Participated in Janatahack: Machine Learning in Agriculture
Participated in JanataHack: Demand Forecasting
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Black Friday Sales Prediction
Participated in Janatahack: Cross-sell Prediction
Participated in AmExpert decipHER – Women Machine Learning Hackathon

Experience

Designation consultant
Company Ernst & Young
Duration July 3, 2017 - Present

Education

Course Master's Degree
University
Duration 2015 - 2017
Job Profile
Course Bachelor's Degree
University
Duration 2010 - 2014
Job Profile
Course Master's Degree
University CUTN
Duration 2015 - 2017
Job Profile

Skill

xgboost, tableau, time series, VBA