May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

• Got Introduced to the concept of the FAIR methodology used to quantify generally unquantifiable cybersecurity risk
• Worked extensively on understanding what FAIR is and how Monte-Carlo simulations are used to quantify the risk
• Created a model(excel/VBA based) to demonstrate the working of the FAIR framework and used test scenarios for running simulations
• Reached out to the FAIR-Institute, USA, and completed an official certification course on FAIR fundamentals
• Created a detailed training deck on FAIR for internal use by the company

Apr 2019 – May 2019 · 1 mo

• Worked on a time-sensitive pilot project for a new US banking client in First Party Fraud Strategy domain
• Identified & defined potential fraud customer base; created incremental strategies to mitigate losses
• Solely responsible for the creation and documentation of all SAS codes and transitioning them over to the client
• Created a Key Performance Indicator MIS to track the performance of various FPF strategies in action
• Analyzed & identified incremental annual fraud base opportunity which was ~ 12% of the entire portfolio
• Successfully captured ~ 10% of the identified fraud population by building strategies on payment hold
• Created short-term and Long-term strategies significantly improving the hit rates from avg 2% to 5%
• Successfully converted the project into an ongoing engagement for EXL thereby adding a new client

Aug 2017 – Mar 2019 · 1 yr 7 mos

• Forecasted Losses for quarterly Acquisitions campaigns via various channels for close to 150 segments
• Represented Risk team in the quarterly Risk Approval deck to be presented to the CRO for approval
• Trained & mentored two campus freshmen, delegated them and was responsible for their deliverables
• Improved the existing model by doubling R2 from 0.4 to 0.8 for Y1/Y2NCL$% thereby improving forecasts
• Modified Risk Appetite Framework metrics by redefining the metric definition based on business logic
• Developed a forecast methodology merging business logic & data to tackle the issue of sparse data
• Won the “The Best Team Award” along with cash prize of $3000 for the second time in 2018 since 2016
• One of the few recipients of annual client bonus awarded by clients only to exceptional employees

Jan 2016 – Jul 2017 · 1 yr 6 mos

• Forecasted Losses for existing customer campaigns aimed at increasing the customer spend engagement
• Won the “Rising Star Award” in Dec 2016 at EXL-Client joint R&R for exceptional performance record