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My Projects

This page brings together projects where I use data analytics to explore questions that sit at the intersection of performance, value, and decision-making. Each project reflects my interest in applying financial reasoning and analytical tools to real-world contexts in a way that feels thoughtful, grounded, and purposeful.

A Financial Valuation of ATP & WTA Players

This project uses Kaggle match-level tennis data to forecast future prize money from performance metrics and surface-adjusted ratings. It then applies a risk-adjusted cash flow framework to estimate the true economic value of ATP and WTA players.

Skills: Python (Pandas, NumPy), Financial Forecasting, Discounted Cash Flow (DCF) Modeling, Risk and Volatility Analysis, Panel Data Analysis, Predictive Modeling, Data Visualization

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