Nitin

Nitin Kshatriya

Hackathons
63
Rank
124
Points
Participated in JanataHack: Time Series Forecasting
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in Janatahack: Healthcare Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Customer Segmentation
Participated in [Student DataFest 2018] Skilltest - Statistics and Probability
Participated in Student DataFest 2018: The Data Identity
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in [Student DataFest 2018] Skilltest - Python for Data Science
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in JanataHack: HR Analytics
Participated in Student DataFest 2018: The Data Supremacy
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning
Participated in Janatahack: Cross-sell Prediction
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in JanataHack: NLP Hackathon
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in JanataHack: Demand Forecasting
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in WNS Analytics Wizard 2019
Participated in Skilltest: k-Nearest Neighbor (kNN)
Participated in LTFS Data Science FinHack 2
Participated in JanataHack: Machine Learning for IoT
Participated in Club Mahindra DataOlympics
Participated in Janatahack: Healthcare Analytics II
Participated in WNS Triange Hackquest
Participated in DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
Participated in Ripik.AI HackFest: Unleashing AI Potential
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in Lord of the Machines: Data Science Hackathon
Participated in AV Express Online: Kickstart your Data Science career (Webinar)
Participated in #AVdatafest SkillPower: Probability
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in Experiments with Data
Participated in Black Friday Sales Prediction
Participated in Time Series Forecasting
Participated in Capillary Machine Learning Hackathon
Participated in Webinar : How to Become a Data Scientist in 2019
Participated in Data Science All Hands (Delhi NCR Meetup)
Participated in Genpact Machine Learning Hackathon
Participated in Age Detection of Actors
Participated in VISTA codeFest Computer Vision
Participated in Face Counting Challenge
Participated in Predict Number of Upvotes
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in QuantumBlack Hackathon
Participated in Community Meet: Rise of Super AI (Bengaluru Chapter)
Participated in Webinar: Building products in the AI era
Participated in India ML Hiring Hackathon 2019
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in HR Analytics
Participated in Loan Prediction
Participated in Practice Problem: Urban Sound Classification
Participated in Food Demand Forecasting
Participated in Webinar: Introduction to Qlik Sense
Participated in Recommendation Engine
Participated in Webinar: Business Analytics Vs Data Science
Participated in JanataHack: Mobility Analytics
Participated in HackLive 2 - Guided Community Hackathon!
Participated in JanataHack: Recommendation Systems
Participated in Webinar: How to Deploy your ML Model?
Participated in Share & Empower
Participated in HackLive - Guided Community Hackathon!
Participated in Webinar: An Introduction to Transfer Learning in NLP using HuggingFace
Participated in HackLive 3: Guided Hackathon - NLP
Participated in Webinar: Getting Started with Natural Language Processing
Participated in LTFS Data Science FinHack 3

Experience

Designation Machine Learning Engineer
Company Cumulations Technologies - Most Trusted Mobile App Development Company
Duration Sept. 20, 2018 - Present
Job Profile Working as a Machine Learning Engineer at Cumulations, I got the opportunity to work on different problems that can be solved using Machine Learning. The main focus area of my work was related to Computer Vision, involving work on Medical Device OCR and image classification. The best of my work was to work on a project SwachhMap that was powered by Intel, where I got the opportunity to work on the complete pipeline, that is, data collection and labeling to modeling and deployment.

Education

Course Bachelor's Degree
University Uttarakhand Technical University
Duration 2014 - 2018
Job Profile

Skill

tensor flow