Francisco Mauricio
Sciences at The University of Kent
I'm an MPhys (Hons) graduate in Astronomy, Astrophysics and Space Sciences who enjoys turning hard science into clear, data-driven insight. Key experience: • Designed a Python-based outlier-detection method analysing 430M+ data points, improving the reliability and accuracy of young-star time-series data by 15-30% for my master's project. • Completed a SQL and Power BI sales analytics project analysing retail performance across regions, product categories, and customer segments. github.com/FranciscoM2001/superstore-sales-analysis • Worked with Airbus engineers in a group study comparing quadruped vehicles vs wheeled rovers for Mars missions, coordinating research tasks and presenting findings to both academic and industry audiences. • Spent a year at Trent University (Canada), including a research project investigating the zero-bias anomaly in double quantum dots. Core skills: • Python (NumPy, Pandas, scikit-learn) • SQL (PostgreSQL) & Power BI • Statistical modelling & machine learning • Data cleaning, analysis & visualisation I enjoy projects that mix rigorous analysis with practical impact, whether that's improving a dataset, building an analytical pipeline, or explaining complex results to non-specialists. Open to opportunities across finance, technology, and data with an emphasis on analyst roles, applying physics-honed problem solving to real-world challenges.