Joseph Siwinski

**** *** ****** *****, ****** PA 19002

215-***-**** adkxs9@r.postjobfree.com

Education

Villanova University (Graduated - December, 2019) GPA: 3.8 Major: Economics, Statistics

Professional Experience

Splash Data Consulting Remote

Owner and Lead Data Scientist March, 2020 – Present

• Built out Robotic Process Automations (RPA) for client base data needs using R

• Consulted Wealth Management clients on Machine Learning models to predict various trends

• Trained a financial ETF xGboost model and implemented proper feature selection

• Designed Interactive Dashboards using Shiny R to display trends in client data

• Expanded client base to 11 clients in current year of company Oklahoma City Thunder Remote

Basketball Analytics Associate January – September, 2020

• Presented roster construction clustering project to front office including General Manager, Sam Presti

• Influenced off season roster decisions based on roster optimization research

• Conducted research study on past Thunder playoff performances for entire Coaching staff

• Developed new defensive metric to better understand matchup analysis

• Compiled my findings into a comprehensive Shiny Dashboard

• Integrated my work into Thunder’s preexisting analytical processes

• Utilized R Bookdown to document both my research and R/SQL code New York Jets Florham Park, NJ

Football Analytics Intern May – August 2019

• Completed cluster analysis and boosting models for Head Coach play-call decision making

• Performed comprehensive data project on individual referee call trends using R and SQL

• Utilized R Markdown and ggplot to present analytical findings in a clear manner

• Visualized findings from large datasets for coaches’ weekly game plan presentations to players

• Developed reports on various player/team trends for coaching staff

• Modeled player tracking data to make practice intensity recommendations to training staff

• Learned how a professional sports team front office runs and operates Charlotte Hornets Charlotte, NC

Business Analytics Intern May – August 2018

• Developed statistical models to project ticket revenue sources

• Compiled revenue projections in a comprehensive R Markdown report

• Utilized R and SQL to collect and wrangle data for models

• Oversaw Tableau pacing chart for Hornets preseason game run up revenue Evonik Oil Additives USA Horsham, PA

Remote Data Analyst November 2017 – April 2018

• Developed interactive sales pacing charts for the Global Key Account team using Shiny R

• Communicated with sales account managers and implemented their requests into visualizations

• Automated monthly data collection/merges with dplyr Computer Skills

R, SQL, Shiny Dashboard, dplyr, Tableau, xgBoost