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Michael Woytek

Michael WoytekMichael WoytekMichael Woytek

Senior Data Analyst at Numerator

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Michael Woytek

Michael WoytekMichael WoytekMichael Woytek

Senior Data Analyst at Numerator

Resume
Contact

About Michael Woytek

Background

 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.

Skills

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. 

Education

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.

My Resume

Career History

Senior Data Analyst, Numerator

April 2023 – Present

  • Communicate with clients to provide custom reports for multivariate analysis of products.
  • Automate the management and cleaning of information in database using SQL.
  • Collaborate with sales team on client requests and marketing presentations for interested parties.


Data Volunteer, Political Campaign

August 2024 – November 2024

  • Designed and analyzed surveys to assess campaign impact and voter sentiment.
  • Organized and hosted phone banks and watch parties to engage and mobilize supporters.
  • Provided technical support to volunteers, ensuring smooth operation of campaign tools and events.


Data Analyst, Numerator

July 2020 – April 2023

  • Use SQL and Python to manage and clean database containing millions of records and updated daily for Fortune 500 companies.
  • Conduct routine pricing and sales studies on products in the consumer goods sector.
  • Assist with machine learning modeling for transcription software. 


Education

Bowling Green State University (BGSU), Bowling Green, OH  

Bachelor of Science in Business Administration

Specializations: Economics & Business Analytics

Minor: History

Graduated: May 2019

Machine Learning Projects

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. 

Activities

President of Analytics, American Marketing Association 

March 2016 – August 2018

  • Collaborated on marketing case competitions for eBay and Mary Kay.
  • Implemented new systems for collecting data, increasing information from members by 50%.

President, Economics Club

August 2017 – May 2018

  • Increased club membership 166% by implementing larger marketing campaigns and featuring club in university events.
  • Constructed Excel database to maintain club financial and membership information.

Honors

Cum Laude – Graduated BGSU with academic distinction, May 2019

Alumni/Faculty Economics Scholarship – BGSU, February 2018

Skills

Python (certified) 

Tableau (certified)

SQL (certified)

Machine Learning 

Dimensionality Reduction

Microsoft Suite (certified)

Downloads

Michael Woytek Resume (pdf)Download
Michael Woytek Resume (docx)Download
Spotify Song Popularity Analysis (pdf)Download
Banco de Portugal Analysis (pdf)Download
College Ranking Analysis (pdf)Download

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My Contact Information

Phone: (440)289-3027 Email: woytekm22@outlook.com

Copyright © 2024 Michael Woytek - All Rights Reserved.

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