Engagement with a Fortune 50 bank: – Leading a $2.5 Mn engagement with Retail Bank, AML Transaction Monitoring, Operational Risks and Compliance divisions of the bank– Developing a Global Transaction Monitoring Engine to allow business teams to identify potential money laundering transactions and improve overall effectiveness of AML rules to reduce false positives– Identify potential sales practices fraud/misconduct comitted by sales personnels– Partnering with global customer experience team to improve Net Promoter Score (NPS) by enabling deep understanding of customer journeys and drivers of NPS– Build attribution methodology to evaluate performance of various digital marketing initiatives for customer acquisition – Understand drivers of drop off from digital funnel for banking productsEngagement with a Fortune 50 Insurer: - Led a $3.5 Mn engagement with claims operations team of the insurer to combat leakages in the field of medical insurance - Scaled analytical solutions across 10 different geographies in LatAm and EMEA over 2 years- Played the role of a client services associate based out of client locations in Gulf and Russia to design and operationalize customized fraud detection and hospital network management solutions for emerging markets

The role was a blend of working hands on and leading teams of decision scientists to achieve highest quality of informed decision making using data for an array of clients across insurance and airlines industries.Engagement with a Fortune 50 insurer:– Built and operationalized a comprehensive and scalable fraud detection and cost reconciliation tool to enable automated detection of suspicious claims– Improved investigation efficiency by augmenting investigator’s knowledge with data driven learnings– Built and operationalized a price negotiation decision board in 3 geographies to prevent cost leakages by detecting over-utilization/abuse of services by healthcare providers– Developed a rule based framework for automated flagging of services which require a detailed second medical opinion to make pre-approvals of claims more efficient– Developed a framework for a proactive Utilization/ Case Management to avoid costs of “future claims”– Developed a framework to analyze claims and premium data of commercial clients across multiple geographic regions to identify the root cause of low loss ratio for each clientEngagement with a Fortune 50 Airlines company: – Decrypted raw machine data (Flight black box, Flight Planning, ACARS data) to analyze fuel consumption patterns across different aircraft types and flight segments– Helped Flight Operations team save $5Mn on annual fuel costs by providing insights into fuel consumption patterns, utilization of discretionary fuel and effect of CoG (Center of Gravity) movement– Developed a customer classification framework to identify high value customers for tier upgrade– Understand FFP tier migration patterns of customers during their life time to offer personalized recommendations and maximize customer value