Nitesh Kumar

Senior Data Scientist

Zensar Technologies Ltd.•  January 2020 - Present

* Strategy and roadmap - worked with the senior management to plan future AI services in Retail and identify their associated research problems * Key contributor for AI in responses to multi-million dollar RFPs. * Lead a team of 4 data scientists for Research as well as Delivery projects * NLP Research focus areas:- Intent classification, discovery & enrichment in Conversational AI systems, Multi-modal recommendation systems for e-commerce, Identifying Product Influence from news articles * Consulting and POC building:- Single shot image classification for a major art auctioneer [0$ POC], Marketing Intelligence for a global software product company [55K USD]

Senior Data Scientist

DataKalp•  July 2019 - December 2019

* Managed 3 client accounts for projects under the Computer Vision umbrella * Lead a team of 4 members to deliver on solutions * Set up the Labelling pipeline and Test Bench for all projects * Designed and implemented Deep Learning solutions for:- Real time Face Recognition from CCTV camera, Real time Checkout Counter Efficiency from CCTV camera

Data Scientist II

Clustr•  May 2017 - June 2019

* Worked closely with the Product Management team and Engineering team to set the road map for product releases and scope out Data Science deliverable * Responsible for the quality control of data extracted from web resources through scraping * Developed schema definitions, data exchange formats, and data modelling for ingesting Product Entities from multiple data sources. * Developed AI models for NLP tasks pertinent to Product resolution & Catalog creation such as: Attribute extraction from SKUs, Product De-duplication

Data Scientist

ASAW•  July 2016 - April 2017

*Client and Partner management which involved:- Requirement gathering, Developing sales pitches for our major offerings in the BFSI segment * Developed Machine Learning models for :- Social Media Analytics - Sentiment analysis and potential Sales Lead generation from social media, Campaign Response Modelling - Target customers with high likelihood to respond to marketing campaigns (for Insurance products)

Technical Intern

Cisco•  February 2016 - June 2016

* Interned at the Supply Chain Operations division at Cisco. * Developed Python modules for Infrastructure monitoring, as a part of Cisco's in-house product, to collect system metrics (Memory usage, Bandwidth usage, etc.) from test machines deployed across the globe. * Integrated with Sensu and Stackstorm for periodic metric collection, dashboarding and alert system.