Mohammad Umar is a Senior Data Analyst at Chewy, having previously served as a Data Science Intern at Walmart Global Tech, where personalized recommendations were implemented through clustering and a re-engineered Recommendation Engine. As a Graduate Research Assistant at Carputty, Mohammad designed a conceptual data model and developed machine learning models to analyze maintenance costs. Prior experience includes roles as a Forensic Analyst at KPMG, automating workflows and analyzing transactional data, and as a Business Intelligence Analyst at American Express, creating KPIs and reports using Tableau. Educational qualifications include a Master’s Degree in Data Science and Analytics from Georgia State University and a Bachelor’s Degree in Information Technology from GL Bajaj Institute of Technology and Management.
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