Indore, Madhya Pradesh, India
Data enthusiast with a demonstrated history of working in analytics with more than 6 years of industrial experience. Technically skilled in SQL, Python, Qlikview, Qliksense, Tableau, Machine Learning with a Bachelor's degree focused in electrical engineering from IIT Indore. Interested to work at the intersection of mathematics and computer science to optimise business processes using data insights.
• Managed Fraud Risk for an entire portfolio processing $300M monthly, by analyzing several fraud MOs like Seller Risk, Account Take Over(ATO), and Bank Risk, collaborating with teams across Product, Engineering, Operations, and Policy for benefit sizing and supporting various new product offerings and risk initiatives. • Reduced net loss by 50%, saving $1.5M annually by deploying quick risk strategies leveraging analytics and domain expertise on top of Data Science models post validation on historical data, while impacting minimum number of good users, thus directly increasing the revenue, margins, and user experience. • Created several new monitoring dashboards in Tableau and revamped existing ones, leading to proactively preventing many potential risks, identifying various data issues and getting them corrected, and quick root cause analysis for new fraud trends in the nascent stage itself, thus avoiding any big impact.
• Worked directly with the "Credits & Collections" team of the Finance department of a Fortune 500 client to achieve various short-term and long term goals such as optimizing the Dispute Resolution Time, increasing the Adoption rate of FSCM framework, etc. on both global as well as market levels • Built and maintained multiple critical reports widely used in the client organization worldwide to track the performance and develop valuable insights, and gathered business requirements for the same through interactions with stakeholders.