Divya Korey
Data & Financial Analyst | Credit Risk & Revenue Forecasting | Python, SQL, Power BI | Turning complex data into decisions
- Role
- Financial Analyst at Goldman Sachs
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Divya Korey
I didn\'t start out wanting to work in finance. I started out wanting to understand why numbers told different stories depending on who was looking at them.That curiosity led me through healthcare claims at Cognizant, where I analyzed 5M+ records and uncovered 12% revenue leakage hiding in plain sight. Then to Accenture, where I built forecasting models that improved revenue accuracy by 18% and helped a telecom business recover ₹120M in annual revenue. And now to Goldman Sachs, where I work with 500K+ loan records daily, identifying credit risk, automating reporting, and making sure the right people have the right information before it becomes the wrong problem.Along the way, I picked up a toolkit: Python, SQL, Snowflake, Power BI, and AWS. But the tools were never the point; the problem was. The point was always: can I take something complex and make it clear? Can I find the signal in the noise before it costs someone time, money, or a bad decision?That\'s what I do. I build models that flag risk early, dashboards that replace 10-slide decks, and pipelines that turn hours of manual work into minutes of automated clarity.Currently finishing my MS in Management Information Systems at the University of Houston. If you\'re working on problems at the intersection of finance and data, I\'d love to connect.
Experience
Financial Analyst
Aug 2025 — Present · Houston, TX, US
Analyzed 500K+ loan records using Snowflake and SQL to identify delinquency trends and credit exposure, accelerating risk assessment by 25%•Segmented borrowers into risk tiers using Python (Pandas, NumPy) to calculate PD metrics, enabling more accurate credit decisions and reducing potential default exposure•Automated LGD & EAD reporting models in Advanced Excel (Power Query, Pivot Tables), cutting manual reporting effort by 30% and standardizing portfolio monitoring workflows•Leveraged Microsoft Copilot to automate recurring credit risk narratives, saving 10–12 hours per week while maintaining consistency across executive reporting
Education
University of Houston, C.T. Bauer College of Business
Master of Science - MS, Management Information Systems
INSTITUTE OF AERONAUTICAL ENGINEERING
Bachelor of Technology - BTech, Information Technology
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