Kirill Mukhin

I’m a data analytics student at Sheridan College (co-op eligible) with hands-on experience turning large, messy datasets into clear, decision-ready insights. I combine strong analytics skills with practical tooling in Python, SQL, Excel, and Power BI to move from raw data to measurable outcomes.

In my machine learning project, I built classification models to predict League of Legends match outcomes using 350K+ records. I engineered features, optimized model performance, and evaluated results with precision, recall, F1-score, ROC-AUC, and confusion matrices—reaching 96%+ accuracy and ROC-AUC around 0.99.

I also use statistical methods to uncover what matters—analyzing 5,000+ maritime and aviation incidents in R and applying tests like the Kruskal-Wallis test (p < 0.05) to identify meaningful differences in casualties across incident causes. Alongside analytics, I’ve contributed to CommUnity Hub, a full-stack web application where I implemented backend logic and SQL database interactions to support scalable, user-focused data flows.