LinkedIn Profile What do competitive swimming and quantitative modeling have in common? In swimming, I have won races decided by fractions of a second, where performance depends on many small technical details that are marginal in isolation but decisive in combination. I approach quantitative modeling in the same way: performance is the result of many small but critical design and implementation choices. My academic background in Finance and Data Science provided me with a strong foundation in financial markets and sparked my interest in quantitative modeling and machine learning. During my master’s, I completed a research thesis focused on predicting limit o der book price movements using convolutional neural networks. Through my professional experience as a Data Scientist and as a Power Optimizer and Trader, I further strengthened my coding skills and applied statistical and machine learning methods to identify signals, build predictive models of market behavior and imbalances, and capture arbitrage and trading opportunities. These experiences reinforced my interest in quantitative research and in leveraging statistical modeling and machine learning to uncover patterns, generate predictions, and extract actionable signals. My mindset, curiosity, and technical skills position me well for a role in quantitative research or trading. Whether over coffee, a virtual meeting, or—if you’re feeling competitive—a swim, I would welcome the opportunity to discuss how my skills and background could contribute to your team.
