Jeff Yoo

Equity Research Analyst at Thrivent Asset Management

United States
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Summary

🤩
Rockstar
🎓
Top School
Jeff Yoo is an equity research analyst with eight years of experience blending management consulting, investment analysis, and machine learning engineering. He has progressed from strategy work at Accenture to investment roles at Mass General Brigham and now Thrivent Asset Management, bringing rigorous project management and cross-functional leadership to asset research. Jeff pairs an MBA from Yale with a humanities background from Carleton College, enabling clear storytelling around complex quantitative insights. He also contributes to open-source NLP tooling—improving TextAttack’s masked-language-model word-swap methods—illustrating a hands-on ML skillset that complements his finance focus. Known for public speaking and teamwork, he translates technical model improvements into actionable investment perspectives. Colleagues rely on him to bridge data science, strategy, and portfolio decision-making with pragmatic rigor.
code8 years of coding experience
bookHinsdale Central High School
bookBachelor's Degree, History, Bachelor's Degree, History at Carleton College
bookMaster of Business Administration - MBA, Master of Business Administration - MBA at Yale School of Management
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Github Skills (7)

transformers10
pytorch10
nlp10
natural-language-processing10
bert10
adversarial-machine-learning9
machine-learning9

Programming languages (5)

RustLuaPHPJupyter NotebookPython

Github contributions (5)

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QData/TextAttack

Jan 2020 - Sep 2021

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Role in this project:
userML Engineer
Contributions:3 releases, 81 reviews, 352 commits in 1 year 8 months
Contributions summary:Jeff primarily contributed to the TextAttack library by making several updates to the word swap transformations, particularly for the masked language model. They implemented enhancements to the BERT-Attack and BAE methods, added features such as window-based processing. Additionally, the user fixed a bug with the retrieval of the newly modified indices.
adversarial-attacksdata-augmentationnatural-language-processingpythonmachine-learning
RishabhMaheshwary/TextAttack

Jul 2020 - Jan 2021

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
Contributions:47 commits in 6 months
adversarial-attacksdata-augmentationnatural-language-processingpython
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