Andrés Segura-tinoco is a Senior Data Scientist based in Bogotá with eight years of professional experience delivering production-ready AI and ML solutions across energy and industrial domains. He combines deep academic research—currently a PhD student at Universidad Autónoma de Madrid focused on XAI, Recsys, NLP and Argument Mining—with hands-on engineering, having designed and shipped core frameworks and end-to-end products at Baker Hughes and OVS Group. Known for bridging research and production, he builds supporting tooling for testing, evaluation and continuous improvement to accelerate delivery and ensure measurable impact. His background includes teaching programming, developing epidemiological models during the COVID-19 response, and creating data-centric modules for large oil & gas assets, reflecting a strong blend of domain knowledge and practical systems engineering.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad Autónoma de Madrid
Bachelor's degree, Computer Engineering, Computer Science, 8.19 / 10.00, Bachelor's degree, Computer Engineering, Computer Science, 8.19 / 10.00 at Universidad de Oriente (VE)
Data Mining Expert, Machine Learning, 98.89 / 100.00, Data Mining Expert, Machine Learning, 98.89 / 100.00 at PROMiDAT Iberoamericano
Universidad de los Andes
Recommender Systems, Recommender Systems at RecSys Summer School 2023
Deep Learning for Natural Language Processing, NLP, Deep Learning for Natural Language Processing, NLP at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Web Mining project in which Descriptive Statistics and NLP techniques are used to analyze the behavior of a Twitter account and the content of their respective tweets.
Contributions:1 release, 48 commits, 1 PR in 1 year 4 months
Contributions:3 releases, 80 commits, 77 pushes in 2 years 4 months
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