
Turning product data into better decisions
Product analyst with six years measuring how users actually use the product and turning that into better decisions for SaaS companies in Bangalore. Lives in product data — defining metrics, analysing user behaviour and funnels, running experiments, and giving product teams the evidence to build the right things rather than the loudest ideas. Found the drop-off that was costing signups and ran tests that lifted activation. Analyses product usage and funnels, builds dashboards and metrics, designs and reads A/B tests, and turns data into product recommendations teams act on. Analytical, curious and product-minded. Looking for a product-analyst or product-data role with a company that genuinely builds with evidence, not opinion.
Product Analyst January 2019 to Present 7 years & 10 months
Found the funnel drop-off that was costing signups and ran tests that measurably lifted user activation.
Analyse product usage and funnels, finding exactly where and why users succeed, struggle or drop off.
Build dashboards and define metrics, giving the product team a clear, shared view of how the product is doing.
Design and read A/B tests rigorously, proving whether a change actually helps before it ships to everyone.
Turn data into clear product recommendations teams act on, so the analysis changes what gets built next.
Data Analyst February 2018 to December 2018 11 months
Built dashboards and tracked metrics, building SQL and analysis skills quickly over the year.
Learned product metrics, SQL and experimentation on the job during this first role.
Gained the certification and experience that led into a full product-analyst role of my own.
BTech in Computer Science (August 2013 to June 2017)
Product Analytics & SQL Certification (August 2017 to January 2018)
Product Analyst (January 2021 to August 2021)
Online Analytics Academy (January 2018 to Present)
- Product Analytics
- Funnel Analysis
- A/B Testing
- SQL
- Metrics Definition
- Dashboards (Amplitude/Looker)
- User Behaviour Analysis
- Cohort & Retention Analysis
- Data Storytelling
- Statistics