Terrance Koar

Senior Software Engineer at Betterment

New York, New York, United States
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Summary

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Terrance Koar is a Senior Software Engineer based in New York with nine years of experience building reliable software across fintech and edtech companies, currently driving engineering efforts at Betterment. He progressed from curriculum development and instruction at Flatiron School into hands-on engineering roles at 2U and Huntress, bringing a strong background in teaching, testing, and developer-facing documentation to production teams. Terrance combines practical data-science notebook work and test automation—evident from his GitHub contributions to educational data-science labs—with product-focused backend development at scale. His finance and international business background, plus fluency in French from early M&A and analyst roles, gives him a useful blend of technical rigor and business context when shaping technical tradeoffs. Colleagues know him for transforming learning materials into testable code and for bridging pedagogy with production engineering.
code10 years of coding experience
job7 years of employment as a software developer
bookComputer Software Engineering, Computer Software Engineering at Flatiron School
bookBachelor of Business Administration (B.B.A.) Business Administration Finance International Business and French, Bachelor of Business Administration (B.B.A.) Business Administration Finance International Business and French at Fordham University
languagesEnglish, French
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Github Skills (7)

text-manipulation10
jupyter-notebook10
python10
data-science10
test-automation10
testing10
machine-learning5

Programming languages (6)

CSSJavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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Role in this project:
userData Scientist
Contributions:1 push in 1 day
Contributions summary:Terrance primarily focused on modifying and updating an `index.ipynb` file, likely representing a Jupyter Notebook for a data science or related project. Their contributions included updates to the notebook's content, including adding code cells, modifying markdown, and incorporating tests. The edits demonstrate a hands-on approach to implementing and testing code, aligning with tasks typically associated with data science workflows.
tkoar/EventListener

Jul 2017 - Aug 2018

Contributions:36 pushes, 6 branches in 1 year 1 month
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