Tom Rossmann

Applied Data Scientist

Applied mathematician building production ML systems. Focus on rigor, transparency, and mathematical foundations.

NLP · Time Series · Anomaly Detection

Projects

Credit Card Fraud Detection

Detecting fraudulent transactions in highly imbalanced data. Cost-sensitive evaluation framework for production-ready model selection.

Solar Energy Forecasting

Quantile regression model with prediction intervals for grid management. Separates deterministic trends from weather-driven variability.

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Thesis

Kernel Methods for Regression

Kernel methods for regression problems by implicitly mapping input variables into high-dimensional feature spaces. Comparison of standard ridge regression and kernel ridge regression with algebraic equivalence proof.