Reid Haefer
My overarching interest is providing sound, data-driven information that others can use to help make difficult decisions about a wide array of topics.
About
My overarching interest is providing sound, data-driven information that others can use to help make difficult decisions about a wide array of topics. My experience is at the intersection of decision making and data science, helping to bridge the gap between those who are doing analysis and those who are making decisions; this includes the ability to develop and employ custom data science workflows and to communicate the results in professional settings. My work often includes the development of data science workflows, modeling, GIS, data visualization, interactive data tools, dashboards, and more, using R (tidyverse, ggplot2, plotly, shiny) & Python (pandas, numpy, playwright, plotnine). Examples of my work include:
• Automated data pipelines using Python/R/SQL
• Utilization of AI tools to increase workflow efficiency
• Web-based data visualization dashboards/tools
• Custom data analysis to understand understand trends, make predictions/forecasts, and discover quantitative insights.
• Automated GIS analysis (sf, geopandas, rasterio, leaflet)
- 12 years' experience
- Joined December 2025
Industry experience
- Government
- Education
- Professional Services
- Transportation & Logistics
- Energy & Utilities
Work experience· 6 roles
Provided data science consulting services to a variety of clients, focused on creating Python/SQL data pipelines (ETL) and data engineering using Mage/AWS/Git. Delivered modeling and analytics work, supporting client needs and delivering insights.
Provided data science consulting services to a variety of different clients, focused on creating Python/SQL data pipelines (ETL) and data engineering using Mage/AWS/Git.
Provided analytical consulting and data science services to clients across the United States on projects related to climate change, GHG, urban planning, and transportation. Technical services included predictive modeling/forecasting, creation of interactive tools (Shiny), geospatial analysis (R/Python/ESRI), interactive web maps, data visualization, data pipelines (Python), general programming scripts, and custom data analysis.
Education
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