Camilo Adame is a data scientist with nine years of experience applying machine learning, NLP and time-series methods across public sector research and commercial product work from Bogotá, Colombia. He has built production-focused systems including parts pricing optimization using web scraping with LLMs and synthetic data generation, a lead-scoring anomaly-detection model, and an OCR pipeline to automate clinical finance workflows. His background blends academic rigor (MSc in Data Science and Economics) with hands-on teaching and consulting—he’s led multiple instructor-led programs and developed dashboards for UNFPA processing millions of tweets. Comfortable across the stack from data engineering to model deployment, Camilo often combines policy-informed analysis with practical automation to drive impact in Latin America and beyond. An understated strength is his ability to translate complex NLP and visualization outputs into actionable tools for nontechnical stakeholders.
9 years of coding experience
2 years of employment as a software developer
University of Milan
Economista, Economics, Economista, Economics at Universidad Nacional de Colombia
Text mining of Colombia Pact responses from the presidential portal.
Contributions:43 commits, 2 PRs, 38 pushes in 4 months
nlppythonminingpresidentialpact
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