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Shubham Poddar

Senior AI/ML Engineer • Nielsen

Gurugram

8+ years of work experience

Nielsen
Jan 20268 mosPresent

Gurugram, Haryana, India

International Audience Measurement, R&D
American Express
Aug 20241 yr 2 mosSep 2025

Gurugram, Haryana, India

Global Commercial Marketing | US Consumer Marketing | Data Science, Strategy & Personalisation
American Express
Sep 20221 yr 11 mosJul 2024

Gurugram, Haryana, India

Deloitte
Apr 20226 mosSep 2022

Bengaluru, Karnataka, India

AI & Data Science | Customer Value Management Modeling
Deloitte
Jul 20219 mosMar 2022

Bengaluru, Karnataka, India

Jan Elaaj
Jun 20204 mosSep 2020

New Delhi, Delhi, India

• Non-Communicable Disease Risk Prediction: Developed supervised model using smartphone-based passive sensing data, achieving >78% accuracy in predicting sleep disorders and anxiety proneness. • Health Scorecard Development: Leveraged survey responses and GPS sensing data, grounded in globally accepted healthcare assessment practices and clinical decision-making frameworks.
Agni Feast & Flavours
Feb 20163 yrs 6 mosJul 2019

Kanpur, Uttar Pradesh, India

• Business Growth: Scaled operations through offsite events, digital promotions, and strategic partnerships, achieving 19% CAGR over 5 years through data-driven expansion strategies. • Operational Excellence: Digitized inventory management for 500+ products across multiple vendors, reducing inventory costs by 31% via optimized supply chain practices and automated processes. • Customer Experience: Introduced CRM tools integrated with POS systems, transitioning operations from offline to cloud/mobile platforms, resulting in 59% customer retention rate. • Strategic Analysis: Formulated data-driven sales and pricing strategies through comprehensive market trend analysis and competitive benchmarking.

Shubham’s AI Stack

antigravity
antigravity
claudecode
claudecode

Education

Department of Statistics, University of Delhi

Master of Science, Statistics

Department of Statistics, University of Delhi

20192 yrs2021
Hindu College, University of Delhi

Master of Science, Statistics

Hindu College, University of Delhi

20192 yrs2021

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Headline

Senior AI/ML Engineer • Nielsen

About

Results-driven Data Scientist with 7+ years of delivering transformative solutions across Fortune 500, Big-4 consulting, healthcare and telecom domains. Specialized in translating cutting-edge research into production-ready solutions, building robust and scalable models that drive measurable impact, pioneering advanced analytics to solve complex business challenges. Proven track record of leading cross-functional collaboration, automating enterprise workflows, conducting governance and combining deep technical expertise with strategic business acumen and blend of creativity to architect data science solutions.

Location

Gurugram

AI stack

antigravity

claudecode

Work experience

Senior AI/ML Engineer at Nielsen, Jan 2026 - Present · 8 mos, Gurugram, Haryana, India, International Audience Measurement, R&D

Senior Data Scientist at American Express, Aug 2024 - Sep 2025 · 1 yr 2 mos, Gurugram, Haryana, India, Global Commercial Marketing | US Consumer Marketing | Data Science, Strategy & Personalisation

Data Scientist at American Express, Sep 2022 - Jul 2024 · 1 yr 11 mos, Gurugram, Haryana, India

Consultant - Data Science at Deloitte, Apr 2022 - Sep 2022 · 6 mos, Bengaluru, Karnataka, India, AI & Data Science | Customer Value Management Modeling

Analyst - Data Science at Deloitte, Jul 2021 - Mar 2022 · 9 mos, Bengaluru, Karnataka, India

Data Science Intern at Jan Elaaj, Jun 2020 - Sep 2020 · 4 mos, New Delhi, Delhi, India, • Non-Communicable Disease Risk Prediction: Developed supervised model using smartphone-based passive sensing data, achieving >78% accuracy in predicting sleep disorders and anxiety proneness. • Health Scorecard Development: Leveraged survey responses and GPS sensing data, grounded in globally accepted healthcare assessment practices and clinical decision-making frameworks.

Founder & Proprietor at Agni Feast & Flavours, Feb 2016 - Jul 2019 · 3 yrs 6 mos, Kanpur, Uttar Pradesh, India, • Business Growth: Scaled operations through offsite events, digital promotions, and strategic partnerships, achieving 19% CAGR over 5 years through data-driven expansion strategies. • Operational Excellence: Digitized inventory management for 500+ products across multiple vendors, reducing inventory costs by 31% via optimized supply chain practices and automated processes. • Customer Experience: Introduced CRM tools integrated with POS systems, transitioning operations from offline to cloud/mobile platforms, resulting in 59% customer retention rate. • Strategic Analysis: Formulated data-driven sales and pricing strategies through comprehensive market trend analysis and competitive benchmarking.

Education

Master of Science, Statistics, Department of Statistics, University of Delhi

Master of Science, Statistics, Hindu College, University of Delhi