Alejandro Platas-lópez is a PhD candidate and economist with eight years of experience turning raw data into actionable insights across the full analytics pipeline—collection, preprocessing, visualization, modeling, and knowledge generation—to support decision making. He has been twice awarded for research in public finance and is pursuing advanced AI-focused doctoral work, blending economic domain expertise with machine learning methods. Based in Veracruz, he combines rigorous academic training (BSc, specialty, MSc, PhD studies at Universidad Veracruzana) with a hands-on data science practice. Outside academia he’s a disciplined endurance athlete—multiple-time state university champion and a former sub-23 10,000m state champion—which speaks to his persistence and goal orientation in long research projects.
8 years of coding experience
Bachelor of Science, Bachelor of Science at Universidad Veracruzana
Bottom-up Adaptive Macroeconomics with Extortion Racket System
Contributions:60 pushes, 3 branches in 1 year 5 months
adaptivemacroeconomicsbottom-upracketbottom
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