Jelani Robinson serves as the Ridership Analysis Manager at the University of Maryland's Department of Transportation Services, where he leverages his innovative mindset and extensive supervisory experience to enhance operational efficiency and improve service delivery. With a robust background in project management and data analysis,...
Jelani Robinson serves as the Ridership Analysis Manager at the University of Maryland's Department of Transportation Services, where he leverages his innovative mindset and extensive supervisory experience to enhance operational efficiency and improve service delivery. With a robust background in project management and data analysis, Jelani is responsible for collecting, analyzing, and interpreting ridership data, which plays a critical role in shaping transportation strategies and operational planning. His expertise in Microsoft Excel allows him to compile complex datasets, enabling insightful comparisons between fiscal years that inform decision-making processes.
In his current role, Jelani leads a dynamic team of over 150 personnel, fostering a collaborative environment that encourages creative problem-solving and the exploration of new processes. His leadership skills are instrumental in guiding fellow supervisors and team members through the intricacies of data collection and analysis, ensuring that all efforts align with the department's goals for efficiency and customer satisfaction. By employing a data-driven approach, Jelani not only tracks key performance metrics but also identifies trends and opportunities for improvement, ultimately enhancing the overall ridership experience.
Jelani's commitment to excellence is evident in his ability to balance short- and long-term project management, ensuring that the department remains agile and responsive to the evolving needs of the university community. His proficiency in research and customer service further complements his analytical skills, making him a vital asset to the UMD Department of Transportation Services as they strive to optimize transportation solutions for students and staff alike.
