Data Scientist with over three years of experience designing and deploying predictive models, NLP systems, and interactive dashboards. Skilled in R, Python, and SQL, with expertise in econometric analysis, causal inference, and deep learning. My path from political science to data science reflects a human-centered perspective: I see data not just as numbers, but as stories and contexts that drive solutions. Experienced in leading cross-functional projects that generate actionable insights and measurable impact, from public finance to legal technology and applied research.
- Programming: Python, R, SQL
- Machine Learning & Deep Learning
- Statistical Analysis
- Data Visualization
- Natural Language Processing (NLP)
- End-to-end ML Pipelines
elmiguelon (R Package)
An R package to track the latest news trends by gathering trending headlines and articles from multiple sources.
Features:
- Built-in sentiment analysis
- Keyword search
- Data visualization
- Translation tools
- Streamlined news consumption to help users focus on what matters most
Research Question:
Did Michoacán’s 2011 access to the U.S. avocado market—often dubbed the green-gold boom—lower or widen wage inequality in producing municipalities?
- Built monthly Gini coefficients (2003-2020) from Mexican Social Security wage registers
- Two-way fixed-effects Difference-in-Differences (DiD) design, with event-study diagnostics
- Found avocado-growing municipalities are consistently more unequal, but the boom itself had no statistically significant causal effect on formal-wage inequality after controlling for municipal and year fixed effects
- Explored the impact of informal earnings caps, market power of <100 certified packers, and organized-crime shocks
An end-to-end machine learning pipeline that forecasts the number of prompts in a ChatGPT session using early conversational data.
- Extracts linguistic features with spaCy
- Generates semantic embeddings via Word2Vec and SentenceTransformer
- Automates feature engineering, model training, evaluation, visualization, and reporting
- Interested in Sports Analytics
- Chivahermano