Kyle Streepy

Data Scientist at Ginnie Mae

Kyle Streepy has a diverse background in data science and analytics. Kyle'smost recent position was as a Data Scientist at Ginnie Mae, where they developed innovative solutions for dashboarding, reporting, and analytics in the mortgage market. Prior to that, they worked as a Data Scientist & Engineer at INNOVIM, collaborating on software solutions and automated tools for statistical analysis and machine learning. Kyle also served as a Data & Analytics Subject Matter Expert at iDoxSolutions, where they provided data analytics support and guidance on data structure in an Agile and AWS Cloud Environment. Kyle has experience as an Analytics, Cloud and Data Visualization Consultant at Deloitte Consulting, where they developed analytics and data visualization dashboards for a federal DoD client. Additionally, Kyle worked as a Business Intelligence Developer at Apex Systems, creating and maintaining Cognos reports and dashboards. Kyle also has experience as a Sr. Business Information Analyst at National Government Services, a Research Grants Analyst at Indiana University School of Medicine, a Grants Proposal Specialist at Purdue University, and a Contracts Analyst at URS Corporation. Throughout their career, Kyle has utilized various programming languages and tools such as Python, R, Tableau, and SQL to analyze and visualize data and provide valuable insights for decision-making.

Kyle Streepy holds a Bachelor of Arts (B.A.) degree in Political Science and Government from Purdue University. Additionally, they have earned a Master's Degree in Government Analytics with a Concentration in Geographic Information Systems (GIS) from Johns Hopkins University Advanced Academic Programs. In terms of certifications, Kyle has obtained a Lean Six Sigma Yellow Belt from GoLeanSixSigma.com in August 2018 and an AWS Certified Solutions Architect - Associate from Amazon Web Services in April 2018.

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