🟢 Open to work
Senior Industrial Engineering student focused on systems, efficiency, and practical problem solving as I prepare to enter the workforce.
A selection of class projects and assignments that show my approach to process analysis, workflow design, and efficiency improvements I've learned recently.
Formulated an Integer Linear Programming (ILP) model to optimize fire station placement and minimize emergency response times across 100 route-time data points. Evaluated resource and coverage constraints to guarantee 100% demand point coverage while reducing projected average response time by 18%.
Built an LP optimization model in Excel Solver & LINGO to minimize municipal busing costs across 6 zones while satisfying capacity and demographic constraints. Performed trade-off and sensitivity analyses across multiple walking-distance policies, identifying operational strategies to reduce logistics expenditures by up to 38%.
Performed root-cause analysis on high-volume ordering and distribution workflows using Human Factors frameworks. Developed operational improvements including workload balancing via peak-hour labor reallocation, mobile QR-code ordering integration, and improved spatial zoning to separate queuing and pickup flows.
Senior Industrial Engineering student focused on systems, efficiency, and practical problem solving as I prepare to enter the workforce.
I am Adja Gueye, a senior at Kennesaw State University pursuing a Bachelor of Science in Industrial Engineering with a minor in Data Analytics. I am completing my fourth year of the program and preparing to start my professional career in engineering and operations.
Experience
Undergraduate Research Assistant
Kennesaw State University · Mar. 2026 – Present
Service Operations Associate
Be Relax Spa · Jul. 2024 – Aug. 2025
Education
Kennesaw State University, Marietta, GA
Bachelor of Science in Industrial and Systems Engineering · Class of 2027
Skills
Formulated an Integer Linear Programming (ILP) model to optimize fire station placement and minimize emergency response times across 100 route-time data points. Evaluated resource and coverage constraints to guarantee 100% demand point coverage while reducing projected average response time by 18%.
Built an LP optimization model in Excel Solver & LINGO to minimize municipal busing costs across 6 zones while satisfying capacity and demographic constraints. Performed trade-off and sensitivity analyses across multiple walking-distance policies, identifying operational strategies to reduce logistics expenditures by up to 38%.
Performed root-cause analysis on high-volume ordering and distribution workflows using Human Factors frameworks. Developed operational improvements including workload balancing via peak-hour labor reallocation, mobile QR-code ordering integration, and improved spatial zoning to separate queuing and pickup flows.