Karim Rizk

I am a resourceful problem-solver, adept at resolving analytical challenges through creative solutions. My academic journey through the School of Engineering and Applied Sciences (SEAS) at George Washington University, specializing in Engineering Management & Systems Engineering (EMSE) with a concentration in Data Analytics, has equipped me with a profound appreciation for the strategic application of analytical tools and statistical models in contemporary projects.

• FEMA staffing project: For FEMA, we developed a staffing model by analyzing past records to efficiently allocate employees across diverse research centers. Tailored to each region's disaster severity, our model, presented as a user-friendly interface coded in HTML, became instrumental. FEMA successfully utilized this tool for staffing the South Regional Consolidated Research Center, improving their readiness for natural disasters.
• English Premier League Standings: Spearheaded a comprehensive analysis of player and team statistics spanning a decade in the English Premier League. This involved a meticulous examination of various metrics including goals scored, goals conceded, ball possession, and expected goals. Leveraging this extensive dataset, I led the development of a sophisticated predictive model aimed at forecasting the league standings for subsequent seasons. Our approach centered on harnessing statistical insights and data-driven methodologies to accurately project the team standings in the English Premier League. This project epitomized our commitment to utilizing robust statistical analysis and data-driven strategies to anticipate and forecast outcomes within the realm of professional football.