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sanghmitra singh baghel

@sanghmitrasinghbaghe

Senior Product Analyst at Shein India Jio, improving purchase conversion through funnel analysis and automated SQL dashboards.

India

Message

At Shein India Jio (via Nagarro), I designed event-tracking SDDs and analyzed the funnel from landing to purchase, contributing to improved data accuracy and conversion. I also built automated SQL dashboards in Looker Studio and monitoring frameworks to help flag metric deviations.

At Swiggy, I analyzed SKU performance and addressed inconsistencies across PODs, improving Add to Cart ratios by 10%. Earlier, at SARAS Analytics, I worked on ETL for advertising data sources and helped develop a logistic connector and data models; at Oye! Rickshaw, I analyzed ride behavior and worked on coupons, fraud detection, and A/B tests.

Experience

Work history, roles, and key accomplishments

Current

Senior Product Analyst

Current

Shein India Jio (via Nagarro)

Oct 2025 - Present (1 year)

Designed SDDs for event tracking, improving data accuracy by ~15-20%. Analyzed end-to-end funnel and built monitoring frameworks to flag metric deviations.

SQL Data Analysis ETL Looker A B Testing Campaign Analytics Attribution Monitoring

Senior Data Analyst

Swiggy

Sep 2024 - Aug 2025 (11 months)

Conducted detailed analysis of SKU performance for Swiggy Instamart across various PODs. Achieved 10% improvement in Add to Cart ratios by addressing performance inconsistencies.

SQL Data Analysis ETL Product Analytics A B Testing Data Visualization

Product Analyst

SARAS Analytics

Aug 2022 - Aug 2024 (2 years)

Leveraged ETL expertise on diverse ad sources, achieving 63% reduction in client issues. Spearheaded Amazon Seller Partner, adding 15+ clients and boosting revenue by $50K/quarter.

SQL ETL DBT Data Modeling Klaviyo Shopify Amazon SP API Pinterest Ads Postman Daton

Business Analyst

Oye! Rickshaw

Jan 2021 - Jul 2022 (1 year 6 months)

Conducted ride behavior analysis using SQL and developed customized coupons driving 4% increase in rides. Engineered fraud detection logic, reducing fake rides by 5%.

SQL Data Analysis A B Testing Mo Engage Fraud Detection Push Notifications