Sean Garborg
Data Science Consultant
Minneapolis, Minnesota, United States
Summary
🤩
Rockstar🎓
Top SchoolSean Garborg is a Data Science Consultant with 12 years of experience applying predictive models, graph algorithms, optimization, and experimentation to thorny, open-ended business problems. He blends an academic econometrics background with strong software engineering skills to embed algorithmic solutions directly into core processes and scale data science work outside IT. Sean has led recommendation and routing teams at C.H. Robinson and now consults independently from Minneapolis, bringing practical experience shipping production systems in logistics and retail. He is an active contributor to the Julia ecosystem—improving testing, dataframes, and data-structure libraries—which underscores his attention to robust, well-tested tooling. Comfortable working cross-functionally with engineers and product teams, he leverages an uncommon mix of economics, finance, and engineering to turn complex models into reliable operational decisions.
12 years of coding experience
9 years of employment as a software developer
A.B. Mathematics Economics Statistics, A.B. Mathematics Economics Statistics at University of ChicagoComputer Software Engineering, Computer Software Engineering at Recurse Center
Github Skills (24)
algorithms10
set-operations10
operation10
testing10
dataframes10
datatable10
array-merge10
data-structure10
dataframe10
datatables10
fileio10
tabular10
file-handling10
file-processing10
data-structures10
Programming languages (9)
Github contributions (5)
JuliaData/DataFrames.jl
Nov 2013 - Jul 2015
In-memory tabular data in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 173 commits, 28 PRs in 1 year 8 months
Contributions summary:Sean primarily contributed to bug fixes and improvements in the dataframes.jl repository. Their commits addressed issues related to reading and handling data in CSV and RDA formats. The user also fixed a typo and expanded testing to cover RDA-specific functionalities. The user deprecated and updated API calls for improved readability.
memorydataframesdatatabular-datadata-frame
JuliaCollections/DataStructures.jl
Oct 2014 - Jul 2015
Julia implementation of Data structures
Role in this project:Backend Developer
Backend DeveloperContributions:7 commits, 3 PRs, 2 pushes in 8 months
Contributions summary:Sean primarily focused on implementing and modifying data structures in Julia, including binary heaps, deques, disjoint sets, and ordered dictionaries. Their contributions involved code refactoring, bug fixes, and syntax updates to align with Julia 0.4. Additionally, the user addressed issues related to the `defaultdict` implementation. These changes demonstrate a focus on enhancing and maintaining the core data structures within the repository.
data-structuresimplementation-of-data-structuresdatastructuresjulia
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