Joseph Siwinski
**** *** ****** *****, ****** PA 19002
215-***-**** **********@*****.***
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