Quantitative researcher who builds the data infrastructure to answer the questions.

I'm an Economist (PUCP, 2024) who works across the full data lifecycle — from defining the right question and choosing the right methodology, to building the pipelines and models that produce the answer.

My background in statistics and econometrics gives me a rigorous foundation for empirical research and causal analysis. My experience in data engineering means I can design and automate the infrastructure that makes that research possible. And my growing work in machine learning and AI engineering lets me apply modern techniques to real-world problems — not just as tools, but with an understanding of when and why they're appropriate.

At CENTRUM PUCP I design relational databases, build end-to-end ETL processes in Python, and develop AI-powered tools for institutional workflows. Previously as Marketing Director at Revista Económica PUCP, I combined data analysis and visualization to drive editorial decisions.

• 🏆 Finalist at Datatón OEFA 2025 — predictive model for dengue outbreak detection using environmental data
• 📚 Enrolled in AI Engineer and Multicloud Data Engineer specialization programs
• 🔭 Currently expanding my portfolio with ML pipelines, RAG systems, and economic forecasting models
• 🌎 Based in Lima, Perú — open to data science, analytics, and data/AI engineering roles

Bibliometric analytics pipeline with a live interactive dashboard

• Designed a modular ETL pipeline using Medallion Architecture (Bronze / Silver / Gold) orchestrated with Apache Airflow on Docker
• Ingests data from the OpenAlex API and surfaces it through a Streamlit dashboard with dynamic filters by field, year, and institution
• Stack: Python · Pandas · Plotly · Airflow · Docker · Streamlit

Real-time crypto market tracker with interactive visualizations

• Built a real-time ETL system that fetches and processes cryptocurrency data from the CoinGecko API
• Features a treemap of market cap, 7-day trend charts, and a dynamic theming system
• Stack: Python · Streamlit · Plotly

Exploratory analysis of rare earth trade flows (1995–2022)

• Analyzed global rare earth trade data from OEC, mapping top exporters, importers, and trade balances by country
• Built an interactive Power BI dashboard published to Power BI Service, with data cleaning and transformation in R
• Stack: R · Power BI · DAX

Open to data science, analytics engineering, and AI roles in Lima, Perú.

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