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Ajay Kumar

@ajaykumar31

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Senior Product Analyst using data, experimentation, and AI to boost retention, monetization, and user satisfaction.

India

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What I'm looking for

I’m looking for a product analytics role where I can own instrumentation and data pipelines, run rigorous A/B experiments, and use SQL plus BI dashboards to drive retention, monetization, and user satisfaction with strong cross-functional collaboration.

I’m a Senior Product Analyst who turns product data into measurable outcomes—improving user satisfaction 1.10x, retention 1.12x, and execution speed 4x by leveraging AI to optimize processes and decision-making. At Teachmint, I work end-to-end on experimentation, instrumentation, and data pipelines, including building PySpark-based pipelines to read MongoDB collections and setting up feature tracking to observe user behavior.

Previously, as a Product Analyst at GameBerryLabs, I used Advanced SQL in BigQuery, Looker Studio dashboards, and Mixpanel to analyze user interactions in real time—driving feature performance 1.5x+ and reducing adhoc work by 0.5x through better measurement. At MediBuddy, I improved data accessibility by 30% and helped increase feature adoption 15% while reducing churn 10%, supported by deep A/B test analysis and data validation. I also enjoy leading analytics work, having managed a Teachmint analytics team of 4 and led vHealth analytics milestones.

Experience

Work history, roles, and key accomplishments

Current

Senior Product Analyst

Current

Teachmint

Aug 2025 - Present (10 months)

Provided data-driven recommendations for new product features, driving a 1.10x increase in user satisfaction and a 1.12x boost in user retention. Built AI-optimized workflows and analytics pipelines (PySpark + MongoDB) to improve feature instrumentation and accelerate work speed by 4x.

Product Analytics A B Testing Data Instrumentation AI Based Optimization MongoDB Data Pipelines Student Monetization User Retention KPI Reporting Pyspark

Product Analyst

GameBerryLabs

Apr 2024 - Aug 2025 (1 year 4 months)

Used Advanced SQL in BigQuery to derive data-driven insights for product feature performance. Built Looker Studio dashboards and informed configuration changes from historical analysis, improving feature performance by 1.5x+; integrated Mixpanel and ran A/B experiments to reduce ad-hoc tasks by 0.5x.