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Nitesh Vijay

Data @ Zupee | Building scalable ML, RL, Agentic AI systems | Ex-Mckinsey | IIT Delhi

Gurgaon

11+ years of work experience

Zupee
Apr 20251 yr 5 mosPresent

In my role at Zupee, I built and led a dynamic team of ~10 data science and machine learning engineers to drive strategic AI/ML initiatives aligned with our core business problems across revenue, retention, marketing and growth. Successfully deployed scalable and robust solutions for personalized pricing, fair gameplay & fraud prevention, tournament recommendation systems, AI content generation, AI voice search etc. - generating over $50M in incremental revenue (validated through A/B testing).
Zupee
Sep 20231 yr 7 mosMar 2025

Gurugram, Haryana, India

Zupee
Mar 20221 yr 7 mosSep 2023

McKinsey & Company
Jun 202110 mosMar 2022

• Collaborated with India's largest integrated pulp & paper manufacturer on an AI-led operations transformation project, increased throughput by 8% through the application of predictive and prescriptive modelling. • Developed a job sequencing optimizer for a global container glass manufacturer, improving sales margin by 3%. • Created genetic algorithms based scheduling optimization tool for one of the largest pharma company in India, unlocking 10% additional production capacity.
McKinsey & Company
Sep 20182 yrs 10 mosJun 2021

TransOrg Analytics
Apr 20171 yr 5 mosAug 2018

Worked with multiple clients in aviation, hospitality and banking industries on demand forecasting, clustering, user segmentation etc.
TransOrg Analytics
Jul 20151 yr 9 mosMar 2017

Nitesh’s AI Stack

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Education

Indian Institute of Technology, Delhi

Master of Technology - MTech, Chemical Engineering

Indian Institute of Technology, Delhi

20105 yrs2015

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Headline

Data @ Zupee | Building scalable ML, RL, Agentic AI systems | Ex-Mckinsey | IIT Delhi

About

Data science & AI leader with 10+ years of experience driving organizational growth leveraging advanced statistics, machine learning, reinforcement learning, deep learning & GenAI/LLMs. I have a strong track record of translating complex business problems into scalable ML solutions, delivering measurable impact across revenue, retention, growth and marketing. Successfully architectured and implemented end-to-end ML initiatives at Zupee while leading a team of ~10 DS/ML professionals unlocking over ~$50M in incremental revenue. Prior to this, delivered strategic ML solutions to top-tier clients in the technology, consumer, and manufacturing industry during my time at Mckinsey.

Location

Gurgaon

AI stack

claude code

claude

gemini

hugging face

langchain

langgraph

Work experience

Associate Director Data Science at Zupee, Apr 2025 - Present · 1 yr 5 mos, In my role at Zupee, I built and led a dynamic team of ~10 data science and machine learning engineers to drive strategic AI/ML initiatives aligned with our core business problems across revenue, retention, marketing and growth. Successfully deployed scalable and robust solutions for personalized pricing, fair gameplay & fraud prevention, tournament recommendation systems, AI content generation, AI voice search etc. - generating over $50M in incremental revenue (validated through A/B testing).

Staff Data Scientist at Zupee, Sep 2023 - Mar 2025 · 1 yr 7 mos, Gurugram, Haryana, India

Lead Data Scientist at Zupee, Mar 2022 - Sep 2023 · 1 yr 7 mos

Data Science Specialist at McKinsey & Company, Jun 2021 - Mar 2022 · 10 mos, • Collaborated with India's largest integrated pulp & paper manufacturer on an AI-led operations transformation project, increased throughput by 8% through the application of predictive and prescriptive modelling. • Developed a job sequencing optimizer for a global container glass manufacturer, improving sales margin by 3%. • Created genetic algorithms based scheduling optimization tool for one of the largest pharma company in India, unlocking 10% additional production capacity.

Senior Analyst, Data Science at McKinsey & Company, Sep 2018 - Jun 2021 · 2 yrs 10 mos

Analytics Specialist at TransOrg Analytics, Apr 2017 - Aug 2018 · 1 yr 5 mos, Worked with multiple clients in aviation, hospitality and banking industries on demand forecasting, clustering, user segmentation etc.

Analyst at TransOrg Analytics, Jul 2015 - Mar 2017 · 1 yr 9 mos

Education

Master of Technology - MTech, Chemical Engineering, Indian Institute of Technology, Delhi

Nitesh Vijay - Associate Director Data Science in Gurgaon | Tal