Will Ow-Wing

Dependable professional with track record of success in field, attention to detail and proactive mindset. Current college intern at the Walker River Paiute Tribe, adept in data analysis and visualization using Python and Tableau. Successfully presented strategic findings at the NAFWS conference, enhancing community engagement and economic initiatives. Proven ability to mentor youth while supporting Tribal Council decisions through comprehensive research and SPSS analysis.

• Event Analysis on Cannabis Dispensary Impact (OBA 410: Python Analytics)
  • Conducted statistical event analysis using Python to examine how new cannabis dispensary openings in neighboring states impacted Bibitor LLC’s alcohol sales.
  • Used Spyder IDE to clean and analyze time-series sales data across multiple counties and years.
  • Created confidence intervals and hypothesis tests to assess trends, and provided strategic recommendations based on findings.
• Cancer Risk Prediction Model (MKTG 415: Marketing Analytics)
  • Built a cancer risk scoring model using stepwise regression and decile indexing to predict high-risk individuals based on health and behavior indicators.
  • Analyzed top predictors including depression, smoking, and weight loss; segmented populations based on risk.
  • Interpreted socioeconomic insights and validated the model’s accuracy with independent test data.
• Apple Music-Inspired Database System (OBA 444: Business Database Management Systems)
  • Designed and implemented a relational database with 12+ interrelated tables modeling Apple Music user behavior and content structure.
  • Created an ERD featuring a weak entity, associative entity, unary and many-to-many relationships, and a multivalued attribute.
  • Wrote SQL queries with joins, window functions, subqueries, and conditional logic to extract insights from playlists, artists, and subscriptions.