Uday Kumar

Product Manager

Bengaluru, Karnataka, India3 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led analytics initiatives driving growth and retention.
Improved conversion rates through data-driven insights.
Expert in product analytics and experimentation.

Stackforce AI infers this person is a Product Analyst specializing in E-Commerce analytics and data-driven product strategies.

Contact

Skills

Core Skills

Product AnalyticsWeb Analytics

Other Skills

Funnel OptimizationExperimentationBehavioral AnalyticsData VisualizationPython (Programming Language)A/B TestingDartAndroid StudioLinuxMobile AnalyticsCustomer Segmentation StrategyMulti-Channel AnalyticsMarketing AnalyticsCampaign Performance AnalysisFeature Experimentation

About

Product Analyst driving data-led product decisions across e-commerce and subscription products. Skilled in behavioral analytics, funnel optimization, A/B testing, and experimentation. Proficient in sQL, Python, Amplitude, Snowplow, and Tableau, with a track record of improving conversion, retention, and customer experience through cohort analysis, lifecycle targeting, and product strategy.

Experience

3 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

6 mos

Current Experience

Nagarro

Senior Product Analyst

Nov 2025 – Present · 6 mos · Bengaluru

Led the analytics charter for Growth, Retention, Search Relevancy, and Personalisation, extending beyond these domains to drive experimentation and funnel optimisation across the complete e-commerce journey.
Orchestrated the transition from Google Analytics to Amplitude, auditing legacy implementation, standardising event tracking,
and ensuring uninterrupted KPI and dashboard integrity.
Conducted an in-depth analysis of a global creator monetization program, identifying success drivers, structural bottlenecks, and growth opportunities by evaluating onboarding funnels, commission economics, GMV contribution, and incentive ROI to
inform scaling strategy.
Performed end-to-end behavioral and funnel analysis of Android users across cohorts and channels to identify high-intent
segments, conversion blockers, and Hero vs Villain product trends, driving actionable growth and intervention strategies

Web AnalyticsProduct Analytics

Condé nast

2 roles

Product Analyst

Aug 2025 – Nov 2025 · 3 mos

🔘 Partnered with Ads, Engagement, and Commerce analysts to align KPIs and integrate cross-pillar datasets, uncovering key subscription interdependencies.
🔘 Led an in-depth retention study with Data Science, using archetypes and behavioural segmentation to identify churn drivers and inform lifecycle interventions.
🔘 Conceptualised and executed a cross-pillar Customer Lifecycle Mapping initiative, integrating registration, engagement, and revenue data to assign users to lifecycle stages.

Associate Product Analyst

Aug 2023 – Jul 2025 · 1 yr 11 mos

🔘 Served as the sole Product Analyst for Subscriptions & Membership for 15 months, owning experimentation, stakeholder alignment, and deep-dive product analysis.
🔘 Led landing page optimisation, driving an 11% lift in order-page conversion.
🔘 Improved payment flow, increasing checkout conversion by 13.6%.
🔘 Delivered insights for 50+ A/B tests, including 12+ dashboards, 12+ structured reports, and 45+ ad-hoc analyses.
🔘 Translated complex datasets into clear, actionable insights that shaped key product decisions.
🔘 Analysed engagement, funnel performance, and cohort behaviour to uncover growth opportunities.
🔘 Led migration from Google Analytics to Snowplow, ensuring accuracy, performance, and seamless QA.
🔘 Built a scalable Snowplow event taxonomy and tracking framework for precise data collection.
🔘 Managed QA for all Snowplow events, maintaining strong data integrity standards.

Data VisualizationPython (Programming Language)Product Analytics

Tata digital

Product Analyst Intern

Jun 2022 – May 2023 · 11 mos · Nominated for Pre-Placement Offer (PPO) for Software Developer (Frontend)

🔘 Partnered with Product and Engineering teams to analyse user behaviour across key funnels, identifying drop-offs and optimisation opportunities.
🔘 Built dashboards to monitor product performance, engagement, and conversion metrics for stakeholders.
🔘 Conducted funnel and behavioural analysis to uncover user patterns and inform product improvements.
🔘 Supported experimentation initiatives by analysing A/B tests and delivering insights to guide product decisions.

DartAndroid Studio

Epikindifi

Internship Trainee

Jan 2022 – Apr 2022 · 3 mos · Selected for Pre-Placement Offer (PPO)

🔘 Built and optimised UI screens for the Tata Neu App, integrating Sanity CMS and managing key API interactions.
🔘 Developed responsive, high-performance interfaces using Flutter and Dart for seamless cross-device experiences.
🔘 Conducted API testing in Postman and integrated backend services reliably into the frontend.
🔘 Oversaw version control and collaborative workflows using Git and GitLab, ensuring clean, maintainable code.
🔘 Applied Android Studio and Material UI principles to deliver visually consistent, functional, and user-centric screens.

LinuxPython (Programming Language)