SHUBHANKAR SINGH

Led business and product analytics initiatives for a real money gaming startup, focusing on A/B testing, data warehousing, and strategic insights to drive user engagement and revenue growth.

• Designed and executed an A/B test on withdrawal limit changes, achieving a 19% absolute uplift in withdrawing users and a 7% increase in repeat depositors, significantly enhancing user trust and retention.
• Developed an ROI funnel for marketing campaigns based on comprehensive click and conversion data, leading to a 7% relative uplift in first-time deposit (FTD) conversions from diverse partners.
• Engineered and automated daily reward A/B tests via SQL and Python scripts, resulting in an 8% uplift in D1 to D7 retention for game plays.
• Spearheaded the design and implementation of an analytics data warehouse, consolidating disparate event streams (server logs, client-side, transaction records) and establishing multiple ETL workflows for seamless data integration.

Orchestrated A/B testing frameworks, developed segmentation models, and implemented automation solutions to enhance player engagement and optimize operational efficiency for a real money gaming platform.

• Designed and executed an A/B test framework to analyze the impact of match and cash bonuses, increasing the second deposit percentage from 31% to 47% with a 51.6% relative improvement (p<0.1).
• Improved Instant Withdrawal (VPA) acceptance from 83% to 91% using fuzzy logic, enhancing user experience and setting up real-time alerts for the team.
• Introduced an RFM-based segmentation framework, driving a 6% uplift in monthly game plays and generating an incremental Rs.24 lakhs in revenue by personalizing bonus offers.
• Developed an OCR system for reading PAN numbers, reducing operational time from 3.5 hours to 30 minutes and significantly improving efficiency.

Mitigated financial risks, optimized payment success rates, and improved data quality through advanced analytics and statistical modeling for a leading fintech payment gateway.

• Prevented a potential loss of 4.5 crores by proactively identifying payment gateway deprecation and establishing threshold-based alerts.
• Performed statistical modeling for a threshold-based routing system, increasing the success rate on Cards from 68% to 72%.
• Decreased bin level failures by 23% through identifying and removing deprecated bins, enhancing system reliability.
• Corrected MCCs for over 430 merchants on the platform, leading to a higher success rate for transactions.

Conducted in-depth market analysis, optimized inventory, and improved product listing strategies to enhance sales performance and reduce churn for a major e-commerce marketplace.

• Analyzed the competitive market, identifying opportunities to integrate over 15% more selections into the Value Engineering Project.
• Identified listings of mskus experiencing weekly churn based on GMV, reducing churn percentage from 51% to 43%.
• Contributed to Out-of-stock Analysis, rolling out various products to increase the achievement score from 78% to 84% monthly.