Pete Melgren
Data Science Developer

Pete Melgren

Former data scientist for the Cincinnati Reds.
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About

Pete Melgren is a data scientist with seven years of experience working on end-to-end predictive analytics projects. He has consulted with cross-industry clients on the use of data science concepts such as machine learning, data mining, business intelligence, and predictive analytics to meet their business needs. As a former data scientist for the Cincinnati Reds, he performed in-depth research of advanced baseball physics measures using statistical techniques that include linear regression, linear classification, mixed models, GAM models, and machine learning methods such as XGBoost. Pete also has advanced knowledge of SQL, R, Python, and AWS.

Employment

3 roles
Jan 2019 - Present 7 years 3 months
Data Science Consultant
Independent
  • Consulted with cross-industry clients on the use of data science concepts such as machine learning, data mining, business intelligence, and predictive analytics to meet their business needs. 
  • Wrote ETL scripts, mined and cleaned data, trained machine learning models, built visualizations and dashboards, and completed other data science tasks as needed to implement these solutions.
  • Performed specific tasks for clients within the field of data science or analytics.
Jan 2016 - Oct 2018 2 years 9 months
Data Scientist
Cincinnati Reds
  • Developed expertise of baseball statistics and used this expertise to help guide decision making across all baseball-facing aspects of the Reds’ front office.
  • Performed in-depth research of advanced baseball physics measures using statistical techniques that include linear regression, linear classification, mixed models, GAM models, and machine learning methods such as XGBoost.
  • Used SQL, Python, and R heavily to perform this analysis. Developed packages in R and created interactive online tools using Shiny.
  • Worked closely with baseball systems on a variety of ETL jobs using Python and SQL.
Dec 2013 - Jan 2016 2 years 1 month
Associate Economist
Moody’s Analytics
  • Supported the development of economic forecast products by training econometric models and writing programs to ensure data quality.
  • Established programming expertise and trained other analysts to write code in database software and statistical languages.
  • Analyzed economic data and delivered written insights to customers.

Education

Sep 2009 - May 2013 3 years 8 months
B.S., Applied Mathematics & Economics
University of Michigan Ann Arbor

Portfolio

1 item