Shubham Aggarwal

About Shubham Aggarwal

Experienced Data Scientist | Health Care & Investment Banking Industries I…

Experience

1. Senior Data Scientist

   JPMorganChase

   Mar 2021 — Present · Gurugram, IN

   Developed an Automated Rule Recommendation Engine for the purpose of detecting fraudulent activities, employing the synergy of big data and advanced machine learning techniques.• Built Explainable Machine Learning algorithms to recommend strategies based on short and long-term trends to mitigate fraud and operational costs.• Developed automated machine learning solution utilizing ensemble models to produce plain English business rules reducing NOL by $5 MM per year • Identified negative list enhancement in the height of Covid-19 pandemic reducing call center volumes and NOL by $1.5 MM per year.• Overseeing $60 MM budget for Zelle, Wires, BillPay, and Wealth Management Transfer products• Significantly decreased Zelle budgeted loss rate from 2.6bps to 1.3bps• Simultaneously reduced the overall budget for all digital products • Regularly delivered updates to executive management regarding variance to budget, targets, and KPIs• Lead development of net new reporting while solutioning existing material reporting defects and issues.• Extinguished sophisticated digital fraud trends while working against tight deadlines (usually within the same week) by leveraging machine learning, insights from data, and knowledge of previous fraud trends • Facilitated the enhancement of fraud decisioning for a payment product servicing 1MM+ transactions per month; solution provided large boost in fraud detection as well as reduction in operational expenses• Managed a ML-based fraud detection product used by many different digital transaction channels by meeting with stakeholders and developers, working through requirements, and identifying opportunities to enhance the tool• Trained and upskilled analysts in data analysis, automation, and coding best practices