Naveen Saragadam
Product Analyst @JPMorganChase
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WORK HISTORY
Product Analyst @JPMorganChase
Spearheaded end-to-end product analytics for digital banking journeys using SQL and Python, identifying funnel drop-offs that improved conversion rates by 18%.• Architected A/B testing frameworks leveraging statistical hypothesis testing, increasing experiment velocity by 35%, and enabling data-backed feature rollouts.• Optimized KPI tracking by defining North Star metrics and building Tableau dashboards, reducing decision latency for stakeholders by 40%.• Engineered data models in Snowflake with dbt, enhancing query performance by 30% and ensuring scalable analytics across millions of user events.• Delivered cohort and retention analysis that uncovered behavioral patterns, driving a 22% increase in user retention through targeted product interventions.• Automated ETL pipelines using Azure Data Factory and Databricks, cutting manual data processing effort by 50% while improving data reliability.
EDUCATION
Bharath Institute of Higher Education and Research
Bachelor of Technology - BTech, Computer Science & Engineering
University of Arizona
Master of Science - MS, Information Science - Machine Learning
ABOUT NAVEEN SARAGADAM
Product Analyst with 3+ years of experience driving data-informed product decisions across digital banking and large-scale retail platforms. I specialize in turning complex data into actionable insights that improve user experience, conversion, and retention.At JPMorgan Chase, I led end-to-end product analytics for digital journeys identifying funnel drop-offs that improved conversion by 18% and uncovering behavioral insights that increased retention by 22%. I’ve built scalable A/B testing frameworks, defined North Star metrics, and developed dashboards that reduced decision latency by 40% for stakeholders.My background uniquely combines product analytics with data engineering. I’ve designed and optimized ETL/ELT pipelines using Snowflake, dbt, Databricks, and Azure Data Factory improving data reliability and reducing manual effort by 50%. At Target, I modernized legacy Hadoop systems into scalable PySpark pipelines, enabling faster, real-time analytics across multi-billion dollar datasets.I thrive at the intersection of product, data, and business strategy partnering with cross-functional teams to translate data into meaningful product improvements. Core Expertise:• Product Analytics, Funnel & Cohort Analysis• A/B Testing & Experimentation• KPI Design & North Star Metrics• SQL, Python (Pandas, NumPy)• Data Visualization (Tableau, Power BI)• Data Modeling & Modern Data Stack (Snowflake, dbt, Databricks)I’m currently seeking Product Analyst opportunities where I can drive growth, optimize user journeys, and build data-driven products that scale.Let’s connect if you’re building impactful, data-driven products
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