Andrés Felipe Camacho

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In: Chicago, Illinois | GitHub

Data Scientist & ML Engineer | Machine Learning for Social Impact

Data scientist and economist with 8+ years of experience building ML models and data pipelines for policy impact. Currently pursuing an MS in Computational Analysis & Public Policy at the University of Chicago, where I serve as a Teaching Assistant for Computer Science with Applications and Data Science Clinic. I specialize in machine learning, spatial analytics, and large-scale data processing using Python, SQL, PyTorch, AWS, and Google Cloud. My work focuses on developing predictive models and scalable systems that inform evidence-based policy decisions in criminal justice, education, and climate change.

Areas of Expertise

You can find my updated CV here

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2025

  1. Cuartasetal.png
    Ambient heat and early childhood development: a cross-national analysis
    Jorge Cuartas, Laura H. Balza, Andrés Camacho, and 1 more author
    Journal of Child Psychology and Psychiatry, Dec 2025
  2. ClimateViolence.png
    High temperatures and violent child punishment at home: Evidence from six countries
    Jorge Cuartas, and Andrés Camacho
    Psychology of Violence, Jan 2025

2023

  1. Prisma.png
    Using artificial intelligence in the request of pretrial measures: approaching the uncertainty in recidivism risk
    Andrés Camacho Baquero, Daniel Mejia, and Lina Navas
    Jan 2023
    Working Paper

2022

  1. bars_brawls.png
    Reducing Alcohol-Related Violence with Bartenders: A Behavioral Field Experiment
    Andrés Ham, Darío Maldonado, Michael Weintraub, and 2 more authors
    Journal of Policy Analysis and Management, Jan 2022

2017

  1. RefugeeEurope.png
    Forced Migration Effects on Trust and Attitudes Toward Immigrants in Destination Countries: Evidence from the Refugee Crisis in Europe
    Andrés Felipe Camacho Baquero
    Aug 2017

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