Shreya Verma

About Shreya Verma

Hello! I’m currently pursuing a Master of Information Systems Management at Carnegie Mellon University, specializing in Business Intelligence, Data Analytics, and Artificial Intelligence. Prior to this, I worked as a Software Development Engineer 2 at Morgan Stanley, where I engineered scalable systems and advanced risk models for institutional portfolios.During my time at Morgan Stanley, I built a factor-based portfolio stress-testing framework in Java (springboot) adhering to scalable system designs covering 3,500+ funds, integrating Monte Carlo simulations, tail-risk modeling, and probability-of-loss functions to improve worst-loss prediction accuracy. I also developed data quality engines using machine learning and deep learning autoencoders for anomaly detection in regulatory risk reports, and optimized risk exposure scripts that reduced computation time from hours to minutes.I’m passionate about tackling complex analytical challenges, and I bring expertise in statistical analysis, machine learning, and cloud-native engineering. Beyond my technical work, I enjoy public speaking and leadership, and I strive to combine technical depth with effective communication to drive innovation. I’m eager to collaborate on challenging projects and apply advanced data science and AI techniques, such as predictive modeling, simulation, and optimization, to enable smarter, data-driven financial and business decisions.

Experience

1. Researcher

   Wolfram Alpha Llc

   Dec 2025 — Present

Education

• Carnegie Mellon University

  Master's degree

  2025 — 2026

• Vellore Institute of Technology

  Bachelor of Technology - BTech

  2019 — 2023

• Amity International School, Sec 46 Gurugram

  High school

  2017 — 2018