Data analyst specializing in statistical modeling, simulation, and business intelligence. Experience building Power BI dashboards, developing Monte Carlo simulations, and analyzing complex datasets to uncover patterns and drive decisions. Proficient in R, Python, Power BI, Snowflake, and Excel. Available for freelance data analysis, visualization, and modeling projects.
Built a Monte Carlo simulation in R to model NCAA tournament outcomes across 1,000+ iterations. Developed custom probability matrices using historical matchup data, comparing linear vs exponential models against real tournament results. Created visualizations showing seed performance distributions and analyzed why #1 seeds win at twice the rate of #2 seeds. Explored conditional probability approaches for predicting tournament outcomes.



Analyzed 2024 Detroit Police Department crime data to identify patterns in criminal activity across neighborhoods and time periods. Created visualizations showing crime distribution across zip codes, temporal trends, and case status over time. Built heatmaps and comparative charts examining how different offense types cluster in specific neighborhoods. Explored geographic and temporal factors affecting case resolution rates.



Developed automated Power BI reporting system connecting Snowflake data warehouse through macro-enabled Excel files. Built data pipeline to track sales pipeline metrics, product performance, and regional KPIs with weekly automated refresh cycles. Implemented DAX measures for dynamic calculations and created drill-down capabilities for multi-level analysis. Reduced manual reporting time and enabled real-time business intelligence for decision-making. (Corporate project - visualizations not shown due to confidentiality)