Undergraduate Data Science Researcher
• Collaborated with CDC PROTECT• Group project to analysis pediatric melatonin products. Using Python and R to scrape products from Amazon then clean data and analyze it. Communicated findings at symposium.
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Michael Keeley is listed as Recent Data Science graduate from Purdue University based in Illinois, United States. AeroLeads shows a matched LinkedIn profile for Michael Keeley.
Michael Keeley previously worked as Undergraduate Data Science Researcher at The Data Mine - Purdue University and Undergraduate Data Science Researcher at The Data Mine - Purdue University. Michael Keeley holds Bachelor'S Degree, Data Science from Purdue University.
Looking for opportunity to apply my skills to solve problems. There’s a lot of data being captured out there; it grows larger each day; and everyone faces the same challenge in sorting, organizing, and understanding it and its impact on their decisions. I combine the use of proven statistical methods, industry level tools, and my natural curiosity and ability to communicate discoveries in a simple manner to solve complex problems, simplify large amounts of data, and clarify and support decisions.
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• Collaborated with CDC PROTECT• Group project to analysis pediatric melatonin products. Using Python and R to scrape products from Amazon then clean data and analyze it. Communicated findings at symposium.
West Lafayette, Indiana, United States
• Collaborated with Purdue Athletics• Group project to analysis football season tickets sales. Using Python improved the data pipeline by creating scripts to clean the data before it arrives for analysis.
Analyzed, researched, and filled data gaps in client listing to support client profiles. Preformed data analytics on client’s data set to determine which attributes contributed to connecting clients and the completion of a successful contract. Constructed two models for predicting if two clients would make a connection. Presented research results to management .
• Collaborated with Jobvite• Group project to write Machine Learning method to extract skills from a job description. Model had 94% accuracy for IT job descriptions it was trained on, 60% for medical field job descriptions.
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Michael Keeley is listed as Recent Data Science graduate from Purdue University.
Michael Keeley is based in Illinois, United States.
Michael Keeley has worked for The Data Mine - Purdue University and American Dental Association.
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Michael Keeley holds Bachelor'S Degree, Data Science from Purdue University.
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