Will Schneider

Data Scientist and Statistician based in Dallas, Texas, specializing in predictive analytics, statistical modeling, and machine learning. I currently am an Asset Manager; streamlining financial processes through automation, data-driven tools, and strategic decision-making.

Education:

• Master of Science, Applied Statistics, Southern Methodist University
• Bachelor of Science, Economics, University of Texas at Dallas

Core Technical Skills

• Python, R, SQL, SAS
• Tableau, Pandas, Matplotlib, Seaborn, Numpy, Statsmodels
• TensorFlow, Keras, PyTorch, Scikit-Learn, XGBoost, LightGBM
• GitHub, Anaconda, Jupyter, RStudio, Google Cloud

Notable Projects

• Aircraft Fleet Time-Series Analysis: Built ARIMA/VAR models to forecast flight hours and cycles, planned maintenance windows, and modeled portfolio utilization for business-jet assets. Produced a Quarto/HTML report and planning artifacts.
  • Technical Article
  • Visualizations, Analysis, & Forecasting
  • Repository.
• NHL Forecasting & Betting Model: Developed advanced predictive models for NHL player scoring and game outcomes, using engineered features (travel distance, timezone effects, fatigue metrics) and validated with rolling-origin cross-validation.
  • Summary, Visualizations, & Analysis
  • Full Analysis & Commentary
  • NHL Predictions App
• Pain & Hypermobility Study: Statistical consulting and reproducible analytics (R Shiny), uncovering links between pain and hypermobility in clinical data.
• Financial & Asset Management Analytics: Automated financial workflows with Regex and OCR, developed AI-driven invoice classification, improving cost efficiency across asset portfolios.

Certifications

• SAS Specialist (verify)
• IBM Data Science Professional (verify)

Contact

• LinkedIn
• GitHub
• Email

See the Projects tab for detailed examples or visit the Blog for technical write-ups.