Daniel Goetz
A Data-Driven, Sports-Savvy Professional with a Proven Track Record in Analytics, Consulting and Partnership Development
Huntington, New York USAAbout
"With a background in data analytics and a passion for sports, I bring a unique skillset to the table, honed through hands-on experience in various sports-related internships and a Master's degree in Applied Data Science and Analytics. I am excited to leverage my analytical skills and industry knowledge to drive decision-making and growth in sports
Experience
Data & Analytics Consultant
Jul 2021 - Present
Led client meetings across different workstreams to provide end-to-end migration solutions and improve
business processes
Designed SAP Data services programs and used SQL queries to migrate 12000 customers and all financial
information for the merger of a large agriculture client
Led the migration of open sales orders worth millions of dollars,
Research Analytics Intern
Feb 2021 - May 2021
Worked with more than 1,000 sporting goods & fitness brands in sporting industry to research benefits of
Personal Health Investment Today Act including lower costs for families in youth sports
Quantitative Analytics Intern
May 2020 - Jan 2021
Generated predictive models using R using previous data from betting markets, such as player props
Built a calculator using Python and SQL to predict outcomes of events in betting submarkets
Luxottica
May 2019 - Aug 2019
Forecasted about 10000 orders and invoices per week for all key accounts based on pre-existing data
Created a dashboard using PowerBI to help traveling salespeople visualize their client’s information
Education
Applied Data Science
- Masters
May 2020 - May 2021
Syracuse University | Master of Science – Applied Data Science and Analytics (Jan. 2019 – May 2021)
Notable Graduate Courses: Database Management, Data Analytics, Financial Analytics, Natural Language
Processing, Data Warehouse
Sport Analytics
- Bachelors
Aug 2017 - May 2020
Syracuse University | Bachelor of Science – Sport Analytics, Summa Cum Laude (Aug. 2017 – May 2020)
Notable Undergraduate Courses: Sport Data Analytics, Research Methodology, Sport Economics, Analyzing
Baseball Data with R
