Sagar Partap

Product Manager

Noida, Uttar Pradesh, India3 yrs 7 mos experience

Key Highlights

Delivered measurable impact through A/B experiments.
Built analytics foundation for new OTT-style platform.
Reduced analysis time by 40% with alerting systems.

Stackforce AI infers this person is a Product Analyst with expertise in EdTech and E-commerce analytics.

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Skills

Core Skills

Product AnalyticsData-driven Decision MakingA/b TestingBusiness AnalyticsData Analytics

Other Skills

Test AnalysisProblem SolvingProductSQLPythonAzure DatabricksData VisualizationAWS QuickSightRoot Cause AnalysisMetabaseProduct IdentificationProduct DevelopmentCross-functional Team LeadershipLeadershipAnalytical Skills

About

Senior Product Analyst with experience across Physics Wallah, PocketFM, and Meesho. I specialize in A/B experimentation, event instrumentation, funnel analysis, and building scalable analytics systems that enable fast, data-driven product decisions. At Physics Wallah, I’ve delivered measurable impact through experiments improving engagement, content consumption, and ARPU, and built the complete analytics foundation for PW’s new OTT-style platform Pi (π). Prior to this, at PocketFM, I led the creation of alerting and RCA systems that cut analysis time by 40% and improved recovery by 15%. At Meesho, I worked on performance marketing analytics, retention experiments, and dashboard automation across large user cohorts. I enjoy solving product problems through data, connecting user behavior with business outcomes, and enabling teams with the right metrics, tools, and insights. Skilled in SQL, Python, QuickSight, Mixpanel, and Metabase, with strong stakeholder collaboration and product sense.

Experience

3 yrs 7 mos

Total Experience

1 yr 1 mo

Average Tenure

3 mos

Current Experience

Tata 1mg

Senior Product Analyst II

Feb 2026 – Present · 3 mos · India · Hybrid

A/B TestingProduct AnalyticsData-driven Decision Making

Pw (physicswallah)

Senior Product Analyst

Mar 2025 – Jan 2026 · 10 mos · Noida, Uttar Pradesh, India · Hybrid

● Owned end-to-end A/B experimentation lifecycle (instrumentation → rollout → monitoring → analysis) for study page revamp,
delivering 15% uplift in test engagement and 5% increase in content consumption across PPJ phases.
● Led Cross-Category Widget experiment, increasing secondary cohort movement by 12% and driving 10% ARPU for primary
users.
● Drove 8% ARPU uplift via Infinity “Popular” Tag A/B experiment by improving plan visibility.
● Acted as a knowledge enabler by mentoring the Product Team on best practices for A/B testing and scalable event instrumentation.
● Led end-to-end analytics setup for PW’s new OTT-style initiative Pi (π), defining full event instrumentation and a scalable A/B
experimentation framework—including KPIs, funnels, and governance—to drive data-backed product decisions.

Test AnalysisA/B TestingProblem SolvingProductProduct AnalyticsData-driven Decision Making

Pocket fm

Product Analyst

Apr 2024 – Mar 2025 · 11 mos · Bengaluru, Karnataka, India · Remote

● Created the whole pipeline from setting up the benchmarks to creating the Alerting system for metrics tracking that made the RCAs more streamlined and quick, reducing analysis time by 40%, which enabled the team to take more proactive actions.
● Conducted RCAs for key metrics, identifying 5+ key bottlenecks and implementing solutions that improved long-term Recovery by 15%.
● Optimized paid acquisition strategy by reallocating ad spend across underutilized cohorts, improving campaign ROI by 20%.
● Developed AWS QuickSight dashboards adopted by 10+ cross-functional teams, improving real-time visibility into business KPIs.
● Automated weekly internal reports for leadership and teams to track key KPIs, saving 15+ hours per week.

Product AnalyticsData-driven Decision MakingBusiness AnalyticsSQLProblem SolvingPython+3

Meesho

Business Analyst

Jun 2022 – Jan 2024 · 1 yr 7 mos · Bengaluru

● Collaborated with the performance marketing team to drive new user acquisition and optimized the NMV/CAC ratio by 20% for repeat users by displaying exclusive feeds.
● Segmented and analyzed 1M+ premium users from metro and Tier-1 cities to uncover behavior-driven monetization opportunities.
● Ran multiple growth experiments (POPS, SSN) to improve platform-wide sharing and shares per user.
● Supported the xDOM experiment by comparing activation and retention curves against in-app features (VS, LC), achieving 4% higher retention vs control.
● Automated the process of metrics tracking by creating Metabase dashboards and Presto models, saving 30+ human hours weekly.
● Enabled large-scale SEO growth by collaborating with Web & SEO teams to launch 100K+ PLP pages using Databricks-powered python pipelines.

Business AnalyticsSQLPythonData AnalyticsA/B TestingRoot Cause Analysis+1

Medicento

Strategic Partnerships Intern

May 2021 – Jul 2021 · 2 mos

Business Analytics

Mathpresso inc.

Tutor

Dec 2019 – Jul 2020 · 7 mos · Work from home

Worked as a tutor for 8 months. Helped many students in solving physics and related
problem virtually. guided the student for securing good Ranks in their exams.