Shriya Padi

I am a Computer Science and Engineering graduate with hands-on product management experience at an AI startup and prior web development experience. I blend technical fluency with a strong interest in business strategy.

I designed and implemented a CNN-LSTM model for sleep stage classification using PhysioNet datasets, applied SHAP and LIME for interpretability, and deployed the solution with Streamlit and Docker; I presented the work at ICCISS'25 with a publication expected in August 2025.

As a Product Management Intern, I collaborated with cross-functional teams to define requirements, conducted market research, mapped user journeys, tracked KPIs, and supported feature rollouts while communicating insights to leadership. I hold Bloomberg Market Concepts and other certifications, and I am registered for the CFA Level I exam to support a move into finance.

I am eager to apply analytical problem-solving, technical skills, and product sensibility to roles in finance and consulting, contributing data-driven insights and working collaboratively in growth-oriented teams.