I'm builder who cares about solving relevant/global problems and connecting the right people to solve them. During my experience of +7 years, I have led teams within multilateral organizations, startups, and government institutions in the United States and LATAM. I blend machine learning and causality to craft solutions for intricate challenges affecting millions of people.Currently, I am pursuing a master's degree in computational social science (MS&E) on a full scholarship at Stanford's School of Engineering and advised by Dr. Vasilis Syrgkanis. Additionally, I got a master's degree in econometrics/public policy from the University of California, San Diego. Three things are relevant to me: empathy, humility, and collaboration. Connect with me: 💯 YouTube's podcast [Ventures with David]: https://www.youtube.com/@VenturesWDavid🔥 My research work: https://davidcastropena.github.io/
M4Roi
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FounderM4RoiMountain View, Ca, Us
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Data Product ManagerFoundersix May 2024 - Aug 2024Hong Kong Sar• Sold my first software product. My solution boosted productivity by 40%, saving managers significant time by automating manual tasks.• Built ML-powered scraping tool to identify U.S.-based beauty influencers, leveraging NLP for targeted YouTube keyword search ("beauty influencer," "product promotion") and influencer video classification.Designed NLP and sentiment analysis pipeline to capture engagement data, including influencer names, video release dates, and top 100 comments.• Developed influencer scoring model using LLMs to predict popularity growth based on engagement metrics and comment sentiment.• Automated data output to structured, exportable formats for trend tracking and influencer partnership insights. -
Data Analyst InternSurf Stanford Medicine Apr 2024 - Jul 2024Stanford, California, United States• Leveraged supervised learning techniques and NLP to analyze asthma exacerbation pathways, identifying inaccuracies in pathway enrollment and addressing class imbalance with SMOTE and gradient boosting.• Enhanced classification accuracy by developing a novel approach based on patient embeddings, utilizing cosine similarity measures to ensure a 96% success rate in pathway identification.• Conducted comprehensive analysis and proposed future tests on historical data to evaluate the robustness of the model, documenting findings in a detailed report to support further decision-making and model adjustments. -
Data Analyst InternStanford King Center On Global Development Jan 2024 - Apr 2024Palo Alto, California, United States• Implemented two-way fixed effects estimator with municipal and time fixed effects to analyze commodity price shocks on trafficking outcomes, controlling for state-specific time trends across 15+ commodities (including soy, coffee, timber) following Dube & Vargas (2013) methodology.• Engineered a panel dataset by merging high-frequency futures market data (Bloomberg/Thomson Reuters) with trafficking incidents across 5,570 Brazilian municipalities. -
Data Analysis Teacher AssistantStanford University School Of Engineering Sep 2023 - Dec 2023Palo Alto, California, United States• Lectured econometrics in applied data science course focused at solving social problems, providing intuitive explanations about core concepts of data science and econometrics such as leveraging existing public and open data to perform quasi-experiments to inform policy, how to interpret diverse estimators (diff-in-diff, fixed effects, and matching) when reading empirical papers.• Led discussion sessions helping students understand core concepts drawing analogies from decisions of real life and emphasizing how econometrics is a tool discern causality from biases and randomness. -
Senior Data AnalystInstitute For Women'S Policy Research Jan 2023 - Sep 2023Washington Dc-Baltimore Area• Enhanced existing logistic regression model analyzing health policy impacts on employment outcomes across US states, collaborating with senior researchers to improve model accuracy and reliability. • Integrated and cleaned large-scale datasets from US Census, Guttmacher Institute, and New York Times to create comprehensive state-level analysis framework.• Led development of organization-wide data management manual, implementing standardized procedures to protect and organize 20+ years of research data.• Served as primary data analyst for multiple research initiatives, delivering statistical analysis and data visualization support for high-impact policy publications on wage inequality. -
Data Analytics And Evidence FellowCounty Of San Diego Jul 2021 - Dec 2021San Diego County, California• Collaborated with policymakers and stakeholders the creation of the County of San Diego, Office of Evaluation, Performance, and Analytics by identifying potential policy innovations and connecting community, scholars, and County employees. • Developed and maintained relationships with +60 business chambers, scholars, and policy think-tanks.Contributed to the selection process of the current Chief Evaluation Officer. -
Data Analyst InternUc San Diego Jul 2020 - Jun 2021San Diego, California, United States• Performed exploratory analysis and contingency tables to uncover $60 million in annual savings through optimized resource allocation, illustrating the ability to identify and implement cost-saving strategies through data-driven insights. -
Adjunct LecturerUniversidad Sergio Arboleda Aug 2016 - Nov 2018Bogotá, Capital District, Colombia• Taught Introduction to Inferential Statistics & Probability to engineering students.• Led and created the first Panel about: "Citizen Participation and Student Leadership." -
Data And Policy AnalystUnited Nations- Fao Jan 2018 - Jul 2018Bogotá D.C., Colombia• Developed unsupervised learning model to classify 10,000+ firms in public procurement contracts, successfully identifying corruption signals and enabling policymakers to mitigate financial risks.• Created proprietary database of fundamental financial metrics by analyzing 100+ company statements, enhancing policymakers' understanding of market dynamics.• Led 2-person of senior research team in producing comprehensive policy document, synthesizing findings from machine learning analysis and financial metrics. -
Business Process ConsultantAlcaldía Mayor De Bogotá Aug 2016 - Jul 2017Bogota, D.C., Capital District, Colombia• Enhanced citizen participation processes for Bogotá's Citizen Participation Office by mapping workflows in collaboration with public employees, citizens, and data analysis.• Applied insights from my work at the Citizen Participation Office to author a research paper, achieving over 2,500 downloads and 20 citations from LATAM university scholars. -
Data AnalystEmpresa De Acueducto Y Alcantarillado De Bogotá Dec 2013 - Jun 2016Bogota, D.C., Capital District, Colombia• Used corporate finance and quantitative methods to reduce operational and overhead costs. -
Engineering InternEcopetrol Jul 2011 - Feb 2012Bogota, D.C., Capital District, Colombia -
English TeacherNatural English Oficial Jan 2007 - Jul 2010Bogota, D.C., Capital District, ColombiaWith only 16 years old, I was teaching English to adults and kids groups.
David Castro-Peña Education Details
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Computational Social Science (Management Science And Engineering)
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International Policy Analysis -
Business Administration, Management And Operations
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International Finance
Frequently Asked Questions about David Castro-Peña
What company does David Castro-Peña work for?
David Castro-Peña works for M4roi
What is David Castro-Peña's role at the current company?
David Castro-Peña's current role is Founder.
What schools did David Castro-Peña attend?
David Castro-Peña attended Stanford University School Of Engineering, Uc San Diego School Of Global Policy And Strategy (Gps), Universidad Sergio Arboleda, Universidad Sergio Arboleda.
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