Olga Fedorova

I've built predictive models and data analyses that turn complex datasets into actionable insights. In my League of Legends match outcome prediction project, I used 350K+ records to develop classification models that achieved 96%+ accuracy and ROC-AUC of approximately 0.99.

I use Python, SQL, Excel, Power BI, Tableau, Pandas, NumPy, R, and statistical methods to clean, validate, analyze, and visualize data. My work includes feature engineering, hypothesis testing, regression analysis, dashboard development, and model evaluation using precision, recall, F1-score, ROC-AUC, and confusion matrices.

For a Bermuda Triangle incident analysis, I examined 5,000+ maritime and aviation records, applied exploratory data analysis and a Kruskal-Wallis test, and identified human and operational factors affecting incident severity.

I've also collaborated on CommUnity Hub, an ASP.NET Core MVC platform that helps GTA students find trusted free community resources. I'm seeking a Data Analyst Co-op role where I can contribute analytical, technical, and problem-solving skills in a business environment.