I'm a detail-oriented senior data analyst with several years of experience working with larger datasets. I have also worked on many machine learning projects using ensemble regressors, support vector machines, K-nearest neighbors, and many other techniques.
I have proven experience using SQL, Python, Microsoft Excel, Tableau, and Microsoft Power BI for data analysis and machine learning. At, Numerator, I use SQL to manage a database with millions of records updated daily.
I graduated from Bowling Green State University with a Bachelor of Science in Business Administration specializing in economics and business analytics with a minor in history.
Senior Data Analyst, Numerator
April 2023 – Present
Data Volunteer, Political Campaign
August 2024 – November 2024
Data Analyst, Numerator
July 2020 – April 2023
Bowling Green State University (BGSU), Bowling Green, OH
Bachelor of Science in Business Administration
Specializations: Economics & Business Analytics
Minor: History
Graduated: May 2019
Analysis of COVID Data – Used Microsoft SQL Server and Tableau to clean up, analyze and visualize public data surrounding the coronavirus.
College Ranking Analysis – Used Python and SQL to analyze the characteristics of colleges to predict their ranking and alumni salary using KNN, OLS regressions, random forest regressors, and more.
2019 Index of Economic Freedom – Used data cleaning and machine learning techniques in Python to visualize trends of countries contained in index. Analysis includes several regressions, principal component analysis, and linear discriminant analysis.
Banco de Portugal Marketing Data – Used Python to analyze the customer characteristics in this data set. Included use of ANOVA, K-nearest neighbors, classification trees, logistical regressions, and other statistical techniques.
Spotify Song Popularity Analysis – Used SQL, Python, and Tableau to determine a song’s potential popularity based off of several metrics through a forest ensemble regressor.
2017 Internet Usage Analysis – Used Microsoft Power BI to compare several economics and developmental metrics to build a model for predicting a country's internet usage rate.
Annual Convenience Store Transaction Analysis – Used Tableau to analyze the transaction data for a convenience store over a given fiscal year. This includes time-series analysis and forecasting.
President of Analytics, American Marketing Association
March 2016 – August 2018
President, Economics Club
August 2017 – May 2018
Cum Laude – Graduated BGSU with academic distinction, May 2019
Alumni/Faculty Economics Scholarship – BGSU, February 2018
Python (certified)
Tableau (certified)
SQL (certified)
Machine Learning
Dimensionality Reduction
Microsoft Suite (certified)
Send me a message or ask me a question using this form. I will do my best to get back to you soon!
Phone: (440)289-3027 Email: woytekm22@outlook.com
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