Preeti Karthikeyan

About Preeti Karthikeyan

Hi! I’m Preeti. I’m a rising senior at UCLA, majoring in Stats & DS with a minor in Math, with a strong foundation in machine learning, mathematical modeling & financial data analysis. I’m drawn to ambiguous, high-impact problems where I can combine creativity with rigorous research to uncover new insights. I thrive in fast-paced, dynamic environments where I can wear many hats, challenge conventional thinking, and break inertia by driving data-driven innovations into scalable investment strategies. Currently, at Franklin Templeton, I’m interning on the Quantitative Research team in the Investment Solutions group, where I contribute to building capital market expectation models, performing volatility & risk analysis & developing frameworks that support multi-asset allocation strategies. Alongside traditional markets, I’ve also developed valuation models for digital assets, leveraging on-chain metrics, network activity data, etc. to better understand crypto market inefficiencies & assess pricing dynamics. With daily exposure to portfolio managers, financial data scientists & DAA/SAA asset allocation teams, I have gained an in-depth understanding of how quant research, systematic modeling & fundamental insights integrate to drive portfolio construction and risk management. Beyond my internship, I built MoneyTree, an award-winning financial education platform that provides personalized stock, ETF & bond recommendations. I engineered an LSTM-based predictive modeling system combining real-time market data, sentiment analysis & macro indicators to forecast price movements & uncover/explain patterns in asset returns. This project strengthened my expertise in backtesting frameworks, factor analysis & model deployment. This idea was driven by the very evident gender gap in investing/the financial industry in general. I’m particularly interested in volatility modeling, systematic trading strategies & understanding market microstructure dynamics to generate alpha across equities, fixed income, alternative, crypto markets. Most importantly, I’m looking for a place that nurtures my passion for Math & Stats. Technologies I work with: Python | PyTorch | TensorFlow | scikit-learn | Pandas | NumPy | SQL | Databricks Let’s talk! Email me at p••••••••@gmail.com or hit the LinkedIn Dm.

Experience

1. Undergraduate Research Assistant

   Franklin Templeton

   Aug 2024 — Present · Los Angeles, CA, US

Education

• UCLA

  Bachelor of Science - BS