Showndarya Madhavan
Data Intelligence @State Street Investment Management
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WORK HISTORY
Data Intelligence @State Street Investment Management
Boston, MA, US
Led a cross-functional team to deliver ETL pipelines for 10 financial data sources in Amazon Redshift within 3 months,enabling faster data access.Built time-series forecasting models with 85%+ accuracy on capital markets flows, driving data-informed sales strategies.Ran portfolio optimization proof-of-concepts using quantum computing SDKs (Qiskit, D-Wave, Pasqal), providing feasibilityinsights for financial use cases.Drove automation initiatives with Microsoft Copilot and Power Platform, streamlining workflows and improving teamproductivity.
EDUCATION
Kellogg Executive Education
Certificate: Kellogg Insights & Analytics
MIT Professional Education
Data Science and Machine Learning: Making Data-Driven decisions
Boston University
Master of Science - MS, Computer Science with Data Centric Computing Specialization
Bunts Sanghas S M Shetty High School & Jr. College
Junior College, Science
University of Mumbai
Bachelor of Technology, Computer Engineering
ABOUT SHOWNDARYA MADHAVAN
I don’t just work with data; I build intelligence around it. At State Street Investment Management, I work at the intersection of data engineering, machine learning, and financial analytics, turning fragmented data ecosystems into insights that actually move portfolios.I’ve designed ETL pipelines connecting more than ten financial data sources in Redshift and Databricks, built time-series models forecasting fund flows with over 85% accuracy, and explored quantum computing frameworks (Qiskit, D-Wave, Pasqal) for portfolio optimization — projects that demonstrated how finance and frontier technology can truly converge.Before that, at Microsoft, I helped global clients modernize systems on Azure and Power Platform, automated weeks of manual calculations for an oil and gas client, and developed secure, real-time C# integrations for a museum’s IoT surveillance network. For me, data intelligence isn’t just about models; it’s about building systems that work.What drives me is creating things that last: scalable data architectures, AI systems that explain rather than mystify, and intelligent workflows that give people more time to think strategically. Recognized as a Women’s Bond Club Rising Star 2025, I thrive in environments where technology meets real-world impact and where data is not just processed but truly understood.I enjoy building and exchanging ideas around the next generation of intelligent financial systems, and I’m always open to thoughtful conversations in this space. I’m passionate about helping financial institutions use generative AI, automation, and quantum-inspired models to make smarter, faster, and more ethical decisions.
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