Namita Sharma

Product Manager

Bengaluru, Karnataka, India12 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

12+ years in analytics and strategy leadership.
Influenced $100M+ business impact through data-driven decisions.
Expert in experimentation governance and portfolio optimization.

Stackforce AI infers this person is a Retail Analytics Expert with a strong focus on Data Science and Strategic Decision Making.

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Skills

Core Skills

Data AnalyticsStrategyData ScienceNatural Language Processing (nlp)

Other Skills

Machine LearningCross-functional Team LeadershipStakeholder ManagementPredictive ModelingPython (Programming Language)People ManagementSenior ManagementRetail AnalyticsBusiness Problem SolvingData StorytellingGenAI ApplicationsExperimentation (A/B Testing, Causal Inference)Data science roadmappingHadoopGoogle Cloud Platform (GCP)

About

Senior Analytics & Strategy Leader with 12+ years of experience driving enterprise retail and membership strategy through experimentation, portfolio optimization, and data-driven capital allocation. Proven track record influencing $100M+ business impact and partnering with Director and VP leadership to shape executive decision frameworks. I lead cross-functional analytics programs that convert ambiguous business challenges into structured, scalable decision systems. My work spans retail portfolio strategy, subscription growth, forecasting, and experimentation governance, with a focus on measurable business outcomes and organizational capability building. Core Focus Areas: Analytics Strategy | Portfolio Optimization | Experimentation Governance | Retail & Membership Growth | Executive Decision Support | Team Leadership

Experience

12 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

0 mo

Current Experience

Ebay

Senior Manager - Data Science & Analytics

May 2026 – Present · 0 mo · Bengaluru, Karnataka, India · Hybrid

eBay Live - Seller Experience.

Target

Lead Data Analyst

Aug 2023 – May 2026 · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

Led enterprise space optimization strategy delivering 25% lift in priority classes and 3% portfolio growth
Identified $130M revenue exposure and drove cross-functional operating model changes
Institutionalized experimentation governance across merchandising investment decisions
Established ROI frameworks for promotions and visual merchandising initiatives
Partnered with senior leadership to shape analytics roadmap and capital allocation priorities

Machine LearningData AnalyticsCross-functional Team LeadershipStakeholder ManagementPredictive ModelingStrategy

Tredence inc.

Data Science Manager

May 2022 – Aug 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India

Led analytics for Walmart+ Membership (US) as part of Tredence’s retail consulting engagement
Worked closely with Walmart stakeholders on membership growth, retention, and customer lifecycle analytics -
Directed analytics program supporting 30–35M members and ~$3B revenue base
Delivered 6–10% retention uplift through experimentation and lifecycle analytics
Informed $50M Paramount+ investment decision via executive scenario modeling
Led and developed 6-member data science team

Machine LearningData AnalyticsPredictive ModelingData SciencePython (Programming Language)

Qanttys

Lead Data Scientist

Jun 2021 – May 2022 · 11 mos · India

Led cross-functional team for 247.AI, delivering NLP and recommendation solutions adopted by product leadership, enabling scalable personalization strategy -
Drove personalization initiatives generating 10–12% revenue growth through data-informed product enhancements
Established structured experimentation governance to validate UX improvements and institutionalize test-and-learn decisioning

Machine LearningData AnalyticsNatural Language Processing (NLP)Predictive ModelingData SciencePython (Programming Language)

Bt

Lead Data Analyst

May 2018 – May 2021 · 3 yrs · Bangalore Urban, Karnataka, India

Supported £1.8B UK Government COVID response programs through forecasting and analytics decision support
Automated large-scale operational workflows, reducing costs by 40% and enhancing program delivery efficiency

Data AnalyticsPredictive ModelingPython (Programming Language)