Jeff Hale

Washington, DC Β· (202) 617-5359 Β· jeffmshale@gmail.com

I'm passionate about helping people use data to solve problems. πŸ“Š

A few of the things I've done:

  • taught over 70 different data science lessons for General Assembly
  • consulted with organizations for their data needs
  • wrote 70 data science posts with over 1.2 million reads
  • attracted over 16,000 Medium followers
  • shared data science resources in my Data Awesome newsletter with over 4,500 subscribers
  • authored books on Python, pandas, Docker, and SQL
  • co-organized Data Science DC, one of the 20 largest data science Meetups in the world with over 14,000 members
  • co-founded and led operations, IT, and finances for several startups


Experience

Lead Instructor, Data Science

General Assembly
  • Taught over 70 different data science lessons to mid-career professionals on topics ranging from Python and SQL to data visualization and machine learning algorithms
  • Developed course materials including lessons, hackathons, and projects
  • Earned consistenly high marks from students and managers including Washington DC campus's first ever 100 NPS score
  • Organized and hosted weekly speaker series with outside presenters on data science topics
Jan 2020 - Present

Data Science Author

  • Wrote over 70 blog posts that have been read over 1.2 million times, primarily on the Towards Data Science Medium publication
  • Attracted over 16,000 Medium followers
  • Designated a top Medium writer in the areas of Artificial Intelligence and Technology multiple times
  • Writing featured in outlets such as Experfy, Data Elixir, Kaggle Newsletter, Dataquest Download, Python Weekly, O'Reilly Data Newsletter, and Data Science Weekly
Aug 2018 - Present

Data Science Consultant

  • Performed data analysis and data visualization for a membership organization
  • Wrote data science blog posts for a high-growth tech startup
  • Restrutured Airtable databases for a venture investment firm
  • Wrote Python script matching data for a startup
Aug 2018 - Present

Chief Operating Officer, Cofounder

Rebel Desk
  • Oversaw IT, finances, and operations for e-commerce treadmill desk company
  • Managed manufacturers and international supply chain logistics
  • Performed customer segmentation and tracked marketing KPIs
  • Built, managed, and A/B tested websites with Shopify, Cloudflare, and Google Analytics
  • Created sales, inventory, and financial forecasts
Jan 2013 - December 2019

Director of Finance and Operations

Weisbrod Matteis & Copley PLLC
  • Helped start law firm and managed finance, accounting, marketing, IT, and HR functions
  • Performed decision analysis modeling case outcomes with Monte Carlo simulations
Oct 2011 - Nov 2012

Stay at Home Dad

  • Managed chaos as primary caregiver for two small children.
Oct 2008 - Sep 2011

Director of Housing Development

Community Services of Arizona, Inc.
  • Modeled, evaluated, and managed development teams for multiple affordable housing projects
  • Developed over $70 million and 1,000 units of affordable rental housing
  • Wrote and presented grant and loan applications for housing developments resulting in over $8 million in awards
Jun 2004 - Sep 2008

Education & Certifications

University of Arizona

MBA & MS Management
  • Net Impact, Merit-Based Academic Scholarship
  • Taught Business Strategy, Human Resources Management, & Business Communication courses
  • Studied a wide range of quantitative research methods and statistics in the context of marketing and organizational psychology for Master's degree in Management
  • Studied decision making, marketing, finance, entrepreneurship, game theory business ethics

Bowling Green State University

BA in Psychology & General Business
  • Magna Cum Laude, Honors Program, National Merit Scholarship, Phi Beta Kappa
  • President, Habitat for Humanity; Vice President, Students for Quality Education
  • Senior Computer Lab Coordinator, Residential Computing Connection

Certifications

  • Google Cloud Certified Professional Data Engineer, 2019
  • Microsoft Office Specialist: Excel 2010
  • LEED AP, USGBC
  • Certified Housing Development Finance Professional, National Development Council
  • Completed many data science and technology online courses

Projects

COVID cases in the US

Plot COVID case data by county
screenshot of covid data

Interactive Streamlit app to visualize COVID-19 case data in US counties using pandas, Plotly, and Streamlit.

Pybraries

Libraries.io API Wrapper
screenshot of scatter plots and code

A Python package for interacting with the libraries.io API to subscribe to open source project updates and get information about packages and repos.

Python Data Visualization Tour

Popular plots in popular plotting libraries
screenshot of scatter plots and code

Interactive Streamlit app that shows the code and output for popular plots from six different Python plotting libraries.

New Belgium Beer Ratings

Web scraping and data visualization
Tableau horizontal bar chart with New Belgium beer ratings

Used requests, BeautifulSoup, pandas, and seaborn to scrape, explore, and visualize New Belgium beer ratings. Tableau visualization here.



Books


Presentations

Python Tools to Deploy Your Machine Learning Models Faster
YouTube Video still image of Jeff headshot

Comparison of Streamlit, Gradio, and FastAPI for deploying models.

Other presenting and organizing
  • Spoke on panels for Data Week DC, Univeristy of Maryland Global Campus, Data Science DC
  • Board Member for Data Community DC, the nonprofit umbrella for 11 Meetups
  • Conference volunteer for Data Community DC 2018, PyData DC 2018, PyCon 2019, and PyData NYC 2019 facilitating sessions and introducing speakers
  • Former Datakind DC project coordinator
  • Startup pitch competition judge for Georgetown University and informal advisor to founders
  • Organized 2019 data dive hackathon with the World Bank
  • Hackathon teams won awards for the US Department of State, edtech, and IOT
  • DataKind DC project coordinator 2018

Tools

Tools used for coding, data analysis, data vizualization, and machine learning

Coding and Data Analysis:

  • Python
  • pandas
  • NumPy
  • SciPy
  • Dask

Data Visualization

  • Matplotlib
  • Seaborn
  • Plotly

Machine Learning

  • Scikit-learn
  • TensorFlow

Time Series

  • sktime
  • statsmodels

Obtaining and Parsing Data

  • Requests
  • Beautiful Soup

Testing

  • pytest
  • Great Expectations

Docs

  • Sphinx
  • Read the Docs
  • Markdown
  • reStructuredText
  • LaTeX

CI/CD

  • Git
  • GitHub Actions

Serving models

  • FastAPI
  • Flask
  • Gradio
  • Streamlit

Model Interpretability and Explainability

  • SHAP
  • Lime
  • Partial Dependence Plots
  • ICE Plots
  • Counterfactual Explanations

Cloud

  • AWS
  • GCP

Database

  • PostgreSQL

Environment Management

  • Docker
  • conda
  • pip

Low-code Tools

  • Tableau
  • Microsoft Excel
  • Google Sheets
  • Google Tables
  • Airtable
  • IntegroMat
  • Zapier
  • Google Analytics

Interests

I live in Washington DC with my family and 🐢😸s. I'm into exercise and the outdoors: πŸš΄πŸ»β€β™‚οΈ,β›·, πŸ₯Ύ, 🌳, πŸ€, πŸ‹οΈβ€β™‚οΈ - and play ultimate frisbee competitively, but there's no emoji for that. πŸ™‚