Transitioning from Research to Industry: Career Pathways for Data Scientists
Join a discussion featuring JPMorgan Chase & Co.’s Subhabrata Das and Maryam Kabiri as they share their unique career journeys, transitioning from PhD programs to advanced roles in data science and AI. They will share their technical work across a range of sectors, including materials science, energy, and economics. Together, their stories will highlight the power of interdisciplinary expertise and continuous learning in preparing them to shape innovative solutions across industries.
Subhabrata Das began his career with a PhD in soft matter, focusing on fluid dynamics and 2D materials. Leveraging his analytical and scientific research skills, he began developing conversational AI at Ally Financial using the RASA framework. His expertise further expanded into predictive analytics, where he developed LSTM models for outage prediction in the power industry.
Maryam Kabiri started her career with a PhD in economics, conducting research on energy efficiency policies that influenced state-level energy adoption. She then moved into the tech industry at Verizon, where she worked as a Machine Learning Engineer and Business Intelligence Manager. In these roles, she applied machine learning models to improve decision-making, operational efficiency, and business strategy.
