Summary
Daniel Weddle is a data-focused problem solver pursuing a Master's in Data Science at UPenn with 11 years of experience blending applied mathematics, programming, and real-world operational insight. He builds analytics and visualization solutions (SQL, Power BI, Tableau) and prototypes with C++, Python, R, and MATLAB, pairing algorithmic curiosity with hands-on implementation. His background tutoring and teaching sharpens his ability to explain complex results and organize projects for diverse stakeholders. Longstanding service as a soccer referee since age 12 has honed decisive leadership, conflict management, and meticulous attention to rules—skills he applies to data quality and process rigor. Past roles at Ferguson Enterprises and ODU gave him supply chain and research experience where he translated messy data into actionable business intelligence. Ever-curious, he seeks roles at the intersection of data science, operations research, and education where strategy, math, and clear communication matter.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Applied Mathematics, 4.0 GPA, Bachelor's degree, Applied Mathematics, 4.0 GPA at Old Dominion University
Master's degree, Data Science, Master's degree, Data Science at University of Pennsylvania