Bennyhin Bapanapalli

Results-driven professional with deep expertise in artificial intelligence, data strategy, and business analysis within high-growth fintech and technology environments. Proven ability to bridge technical capabilities and business objectives through predictive modeling, process optimization, and cross-functional collaboration. Combines an MS in IT Project Management with hands-on experience in AI-driven forecasting, fraud risk analytics, machine learning evaluation, and enterprise data strategy at industry-leading organizations including Stripe, Amazon, and Coinbase.

Skilled in translating complex analytical findings into actionable recommendations that protect revenue, accelerate growth, and enhance operational efficiency.

Strategy & Analytics Business Analyst at Stripe (2023-11 – 2024-07)

• Drove data-driven strategy initiatives by utilizing SQL and Python to extract actionable insights from complex financial datasets, identifying opportunities to optimize revenue streams and improve payment routing.
• Designed and deployed interactive dashboards using Tableau and Looker to monitor key performance indicators (KPIs) and track regional product adoption metrics.
• Integrated enterprise AI strategies and predictive modeling techniques to forecast transaction volumes, detect emerging market trends, and enhance operational efficiency across the platform.
• Conducted rigorous A/B testing and statistical analysis to evaluate the impact of new feature rollouts, directly informing and guiding technical product strategy decisions.
• Collaborated with cross-functional engineering teams using Agile/Scrum methodologies to streamline data pipelines, ensuring high data integrity and reducing manual reporting overhead.
• Translated complex analytical findings into clear, executive-level presentations, providing leadership with actionable recommendations for scaling Web3 advertising and digital payment infrastructure.

CAP Analyst — Concession Abuse Prevention at Amazon (2023-05 – 2023-10)

• Queried and analyzed complex transactional datasets using SQL and Excel to detect fraudulent patterns and unauthorized access behaviors.
• Tracked and reported on emerging security risks using Tableau and Power BI visualizations, enabling proactive risk mitigation.
• Managed high-volume case queues and escalated security tickets utilizing enterprise CRM and ticketing systems (Jira, Zendesk).
• Applied root cause analysis (RCA) and risk modeling concepts to proactively secure accounts against unauthorized access and social engineering attacks.
• Collaborated in Agile environments with cross-functional teams to optimize automated fraud-detection workflows and system rules.
• Maintained detailed technical documentation, process maps, and compliance audit logs within internal knowledge bases.

Payment Risk Analyst at Coinbase (2020-09 – 2023-04)

• Analyzed and mitigated fraud risk across high-volume fiat payment rails (ACH, cards, and real-time payments), utilizing SQL to query large datasets and identify anomalous transaction patterns.
• Designed and tuned risk controls, leading the transition from heuristic-based rules to model-driven mitigation strategies in collaboration with Data Science and Machine Learning teams.
• Investigated complex fraud vectors utilizing identity-provider data, Python, and blockchain analytics, proactively closing monitoring gaps to minimize financial loss.
• Evaluated the financial impact of risk strategies by tracking rule precision and recall, synthesizing complex datasets into actionable insights using Looker and Tableau.
• Optimized end-to-end fraud prevention operations, partnering cross-functionally with Product and Engineering to enforce stringent compliance while maintaining a seamless user experience.

MS in Project Management (IT) in Project Management – Saint Francis College