Jack Sanders

I'm a

About

Data Scientist with experience providing actionable insights to support data driven decision making accross a variety of organizations. Specializing in Python with key libraries (pandas, numpy, keras, matplotlib) and Excel/Google Sheets, I can summarize, organize, and visualize datasets of any size




Data Scientist & Machine Learning Developer.

  • Email: jack12sanders@gmail.com
  • Phone: (515)-520-0602
  • City: Richmond, VA
  • Age: 27
  • Field of Study: Computer Science
  • Website: www.jackmsanders.com

Skills

Python 90%
Google Sheets 100%
Machine Learning 75%
Neural Networks 75%
Django 80%
Photoshop 60%

Resume

Sumary

Jack Sanders

Data Scientist with 4 years experience using Python to analyze and visualize data for NCAA Division I basketball programs. Expert in creatively using and inventing metrics to predict and improve overall possession efficiency.

  • (515) 520-0602
  • jack12sanders@gmail.com

Education

Bachelor of Liberal Studies

2015 - 2017

Iowa State University
(Field of Study: Computer Science and Theory of Computing)

Master of Computer Science

2018 - 2019

University of Illinois-Springfield (16 of 32 credits)

Professional Experience

Data Analyst/Video Coordinator

2019 - 2021

University of Richmond Women's Basketball, Richmond, VA

  • Lead the team's analytical efforts and helped inform the most essential metrics to maximize efficiency.
  • Communicated findings to the team with easy to understand and actionable language.
  • Go-to IT specialist and problem solver.
  • Assisted in all team operations and development planning.

Assistant Coach

2017 - 2019

UIS Men's Basketball, Springfield, IL

  • Monitored and evaluated team performance.
  • Facilitated training sessions and individual workouts.
  • Maintained and gathered insights from the team's statistical database.
  • Organized travel arrangements including transportation, accommodation, and meals.

Portfolio

In addition, I have worked in consultation with the Managing Director at PrairiE Systems and the Boston Glory (AUDL) Analytics department. Those projects have not been made public. .

  • All
  • Analytics
  • Machine Learning
  • Web

Usage Rate vs. Efficiency

Analytics

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