JP Morgan MDP 2022: Follow the Sun Schedule Recommendaiton
dc.contributor.author | Flics, Jeremy | |
dc.contributor.author | Polra, Nisarg | |
dc.contributor.author | Wan, Claire | |
dc.contributor.author | Tinker, Claire | |
dc.contributor.author | Worden, Kristen | |
dc.contributor.author | Li, Herbert | |
dc.contributor.author | Najarian, Kayvan | |
dc.contributor.advisor | Najarian, Kayvan | |
dc.date.accessioned | 2023-05-26T17:53:05Z | |
dc.date.available | 2023-05-26T17:53:05Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/176709 | |
dc.description.abstract | Wholesale Lending Services (WLS) is a large division within JPMorgan Chase (JPMC) that services thousands of loans every year. With about 2,200 WLS employees across the world, having an analytics tool that monitors and evaluates the task work assignments using current and historical data will increase the overall productivity of the organization. As part of the Multidisciplinary Design Program (MDP), our team provided a machine learning model integrated with a stand-alone application that predicts future workload and recommends work assignment to improve on-time delivery. Currently, supervisors have limited visibility of the data and do not have access to any tools to support this decision-making. We aim to provide better access to crucial information for allocating work, such as the volume of tasks, and number of available employees with a certain skill set to assist supervisors in making strategic decisions. | |
dc.subject | Machine Learning | |
dc.subject | Multidisciplinary Design Program | |
dc.subject | Software Engineering | |
dc.title | JP Morgan MDP 2022: Follow the Sun Schedule Recommendaiton | |
dc.type | Project | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | NA | |
dc.contributor.affiliationum | EECS | |
dc.contributor.affiliationum | EECS | |
dc.contributor.affiliationum | SI | |
dc.contributor.affiliationum | EECS | |
dc.contributor.affiliationum | EECS | |
dc.contributor.affiliationum | EECS | |
dc.contributor.affiliationum | Michigan Medicine | |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176709/1/Honors_Capstone_Schedule_Recommender_Tool_-_Jeremy_Flics.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176709/2/Honors_Capstone_Schedule_Recommender_Tool_Poster_-_Jeremy_Flics.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7558 | |
dc.working.doi | 10.7302/7558 | en |
dc.owningcollname | Honors Program, The College of Engineering |
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