Decisions you can explain, defend, and act on

Ayesha leads Potomac Data as CEO, directing the firm’s operations, client relationships, and teaming partnerships.

At Verizon, Ayesha rose from Data Scientist to Principal Data Scientist and then Senior Manager of Data Science. Her work in the finance and internal audit organization applies analytics and machine learning to detect fraud and anomalies, assess organizational risk, and monitor key risk indicators automatically instead of by hand.

Before Verizon she was a consultant with Deloitte Tax in New York. There she used data analysis to identify tax credits and incentives for clients across industries, including fintechs, startups, and banks. She began her career as an environmental and field engineer at OMV’s gas fields in Pakistan, where she was the first woman engineer assigned to a field location.

Ahmad has spent more than ten years in financial services, nearly a decade of it as a data scientist and data science leader. At Rocket Mortgage he leads a data science team that builds propensity models across the mortgage pipeline and applies NLP and agentic AI to business systems. As a Principal Data Scientist on Capital One’s AI Foundations team, he worked on foundation-model capabilities, including an LLM that helps card-servicing agents retrieve information and a model that flags privileged documents for legal review.

Earlier, he built models at JPMorgan Chase for branch strategy and transaction analysis. At IBM he served financial-services clients with models for high-risk customer detection and insurance attrition, and he started out leading data services work at AmTrust Financial. He also taught data science part-time at BrainStation for more than five years.