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bgreenwell/README.md

Brandon M. Greenwell πŸ‘¨β€πŸ’»

πŸ“§ [email protected] | πŸŽ“ Google Scholar


About Me πŸš€

Hi there! I'm a Director of Data Science at 84.51Β° with a passion for developing cutting-edge AI/ML solutions and empowering organizations to leverage the power of data-driven decisions. With over a decade of experience in statistical modeling, machine learning, and data analysis, I bridge the gap between academic research and practical industry applications. I'm also really interested in making fun, useful terminal applications!

πŸŽ“ Education & Background

  • Ph.D. in Applied Mathematics - Air Force Institute of Technology (2014)
    • Dissertation: "Topics in Statistical Calibration" | GPA: 4.0
  • M.S. in Applied Statistics - Wright State University (2011) | GPA: 4.0
  • B.S. in Statistics - Wright State University (2009)
  • Accredited Graduate Statistician (GStat) - American Statistical Association (2014)

πŸ† What I Do

As Director of Data Science at 84.51Β°, where I'm a data science tech lead on the AI Enablement team, synthesizing the latest AI/ML advancements into foundational tooling and driving enterprise-wide adoption across Kroger. I'm also passionate about education, serving as an Adjunct Instructor at both University of Cincinnati and Wright State University, where I teach graduate-level statistics and business analytics.

Core Expertise: Statistical Modeling β€’ Machine Learning β€’ Explainable AI β€’ R/Python Development β€’ Open Source Contributor


πŸ“š Books


πŸ’» Featured Open Source Projects

πŸ¦€ Rust Projects

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🐹 Go Projects

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πŸ“Š R Packages (CRAN Published)

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πŸ‘¨β€πŸ’» Current Roles

🏒 Director, Data Science @ 84.51° (Kroger's Data Science Subsidiary)

  • Data science tech lead on the AI Enablement team, designing best-practice patterns and tools for AI/ML applications
  • Synthesize latest AI/ML advancements into foundational tooling and reusable patterns
  • Drive adoption of AI/ML tools and practices across the Kroger enterprise

πŸ“š Adjunct Instructor @ University of Cincinnati

  • Department of OBAIS - Teaching graduate-level statistics, business analytics, and programming with AI courses
  • Previously taught at Wright State University (2017-2022) in Biostatistics and Environmental Statistics

πŸ“ˆ GitHub Stats

Brandon's GitHub Stats


🀝 Connect With Me

  • πŸ’Ό LinkedIn
  • πŸŽ“ Google Scholar
  • πŸ“§ Email: [email protected]
  • 🌐 Active member of the American Statistical Association (ASA)
  • πŸ“ Reviewer for top journals including The R Journal

Pinned Loading

  1. investr investr Public

    Inverse estimation in R

    R 24 6

  2. pdp pdp Public

    A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

    R 98 13

  3. koalaverse/vip koalaverse/vip Public

    Variable Importance Plots (VIPs)

    R 190 22

  4. fastshap fastshap Public

    Fast approximate Shapley values in R

    R 127 17

  5. lstr lstr Public

    A fast, minimalist directory tree viewer, written in Rust.

    Rust 1.4k 27

  6. doxx doxx Public

    Expose the contents of .docx files without leaving your terminal. Fast, safe, and smart β€” no Office required!

    Makefile 3.3k 79