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JP Morgan MDP 2022: Follow the Sun Schedule Recommendaiton

dc.contributor.authorFlics, Jeremy
dc.contributor.authorPolra, Nisarg
dc.contributor.authorWan, Claire
dc.contributor.authorTinker, Claire
dc.contributor.authorWorden, Kristen
dc.contributor.authorLi, Herbert
dc.contributor.authorNajarian, Kayvan
dc.contributor.advisorNajarian, Kayvan
dc.date.accessioned2023-05-26T17:53:05Z
dc.date.available2023-05-26T17:53:05Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/2027.42/176709
dc.description.abstractWholesale 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.subjectMachine Learning
dc.subjectMultidisciplinary Design Program
dc.subjectSoftware Engineering
dc.titleJP Morgan MDP 2022: Follow the Sun Schedule Recommendaiton
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedNA
dc.contributor.affiliationumEECS
dc.contributor.affiliationumEECS
dc.contributor.affiliationumSI
dc.contributor.affiliationumEECS
dc.contributor.affiliationumEECS
dc.contributor.affiliationumEECS
dc.contributor.affiliationumMichigan Medicine
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176709/1/Honors_Capstone_Schedule_Recommender_Tool_-_Jeremy_Flics.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176709/2/Honors_Capstone_Schedule_Recommender_Tool_Poster_-_Jeremy_Flics.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7558
dc.working.doi10.7302/7558en
dc.owningcollnameHonors Program, The College of Engineering


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