Osu data analysis programs ocio
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Achieved over 95% precision & recall for unseen testing data in the proposed machine learning model with hyperparameters optimization.
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The new version of this course is aimed to help undergraduate and graduate students learn how to implement industrial applications using R and Python. Theodore Allen to design a new syllabus and materials for a course “Introduction to Operations Analytics” which was offered in Spring 2020. Worked with Pardee Bob and Geoffery Shoupp from Office of theChief Information Officer (OCIO) Enterprise Security at the Ohio State University to deploy the proposed system as an API product.
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Led and conducted the project “Data-Driven Cyber Vulnerability Maintenance” funded by National Science Foundation (NSF Grant #1409214) from Aug 2016 to Nov 2018.Led the project “A Framework For Economical Cyber Security Inspection and Assurance” funded by National Science Foundation (NSF Grant #1912166) from May 2019 to Mar 2020.Led the project “Advanced AI in Pipeline Anomaly Classification” funded by ROSEN Group from May 2019 to Mar 2020.Department: Integrated Systems Engineering Lab: Security and Efficiency Through Analytics Laboratory.Aug 2016 - May 2020: Graduate Research Assistant.Led the development & deployment (including data architecture, software developments, translating requirements, infrastructure design, and implementation) of COVID surveillance web tools for the Ohio Department of Health and school districts in the State of Ohio.May 2020 - May 2021: Graduate Research Assistant.
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Worked as part of a team of scientists and engineers that develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization’s clinical, operations and business initiatives and priorities.Department: Enterprise Data & Analytics.May 2021 - present: Healthcare Data Scientist.