Gustavo Pabon
Principal Data & Applied Scientist
Miami, Florida, United States
Summary
👤
Senior🎓
Top SchoolGustavo Pabon is a Principal Data & Applied Scientist at Microsoft with 11 years of experience blending applied research, analytics and product-focused AI to drive digital transformation for retail, consumer goods and manufacturing customers. He specializes in turning complex data into scalable, business-impacting solutions—designing recommendation systems, demand-planning models and anomaly detection pipelines that have delivered measurable revenue and efficiency gains. Gustavo has a strong research pedigree (MSc in Computer Science, multiple conference publications and contributions to INRIA projects) and a history of translating academic work into industry impact, including precision agriculture business models and national-scale ML initiatives. He has led large cross-functional teams and built multimillion-dollar pipelines in LATAM while also patenting practical AI innovations. Based in Immokalee, Florida, he combines hands-on modeling with strategy and delivery coaching to embed a data-driven culture in clients and peers. Less obvious: he frequently bridges social impact and industry work, volunteering on assistive-AI projects for visually impaired users and advising government and non-profits on data-led programs.
11 years of coding experience
20 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universidad de ChileBachelor's degree Systems Engineering, Bachelor's degree Systems Engineering at Pontificia Universidad Javeriana
Spanish, English, Portuguese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (9)
raise9
dstoolkit7
php6
regex6
trim6
anomaly-detection5
rest5
machine-learning4
python4
Programming languages (2)
Github contributions (5)
microsoft/dstoolkit-anomaly-detection-ijungle
Sep 2021 - Jun 2022
This is a repo to implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.
Contributions:27 commits, 1 PR, 12 pushes in 9 months
anomalypythoneventsanomaly-detectionraise
gpabon/assets
May 2019 - Aug 2019
Contributions:16 pushes, 1 branch in 3 months
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