Tomás Osorio
Data Scientist
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolTomás Osorio is a data-driven Business Administration student at Emory University with nine years of hands-on experience blending analytics, strategy, and machine learning contributions. He has interned in corporate strategy and consulting roles at Newell Brands and Simon-Kucher, helping shape market entry and pricing strategies, and built CEO-facing Power BI dashboards at Nestlé that drive monthly performance reviews and scenario analysis. Technically fluent as an ML engineer, he contributed to the popular pytorch/audio project—adding datasets, models, audio transforms, and tests—demonstrating practical expertise in audio signal processing. Planning to concentrate in Finance and double-major in Economics, he focuses on financial management, services, and sports management while bringing uncommon cross-functional fluency between strategic decision-making and production-grade ML tooling.
9 years of coding experience
Bachelor of Business Administration - BBA, Finance, 3.87/4.00, Bachelor of Business Administration - BBA, Finance, 3.87/4.00 at Emory University - Goizueta Business School
English, Spanish, Portuguese
Github Skills (9)
transformers10
pytorch10
machine-learning10
audio-processing10
python10
speech9
mfc9
mfcc9
testing8
Programming languages (3)
Github contributions (5)
pytorch/audio
Feb 2020 - May 2020
Data manipulation and transformation for audio signal processing, powered by PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:22 commits, 28 PRs, 55 comments in 2 months
Contributions summary:Tomás contributed significantly to the `pytorch/audio` repository by implementing and integrating new datasets, specifically the Speech Commands dataset, and added a Wav2Letter model. They developed and tested new audio transformations like the Fade transformation and implemented tests for existing transformations. Furthermore, they introduced functional capabilities, such as amplitude to dB and dB to amplitude, and added inline typing for improved code readability and maintainability, enhancing the library's audio processing capabilities.
pytorchaudio-processingmanipulationpythonsignal
dlite-tools/NLPiper
Mar 2021 - Apr 2022
NLPiper is a package that agglomerates different NLP tools and applies their transformations in the target document.
Contributions:6 releases, 7 reviews, 39 commits in 1 year 1 month
nlptext-processingnlp-parsingnlp-librarytransformations
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