I recently graduated with a Bachelor’s degree in Economics from Pontificia Universidad Católica del Perú (PUCP).

I’ve specialized in the collection and analysis of large datasets across diverse sectors, including multilateral institutions, academia, and private enterprises. My expertise lies in leveraging a variety of analytical tools to effectively monitor and evaluate key performance indicators, ensuring data-driven insights for strategic decision-making.

I am interested in working with Data Science applied to the financial and economic fields.

I completed a Diploma course in Data Science at the Artificial Intelligence and Computational Methods in Social Sciences Laboratory - PUCP.

I am also interested in research in Data Science.

Awarded with the PUCP-UNSAAC Inter-University Research Fund 2023.

Experience

Analyst @ Green Gold Forestry [2024 - Present]

Implemented a Python script to digitize more than 3 year of handwritten attendance lists and purchase records using OCR tools, significantly reducing digitization time and improving data accuracy.
Developed the commercial section of two ongoing project verification reports, establishing the first protocol to automate key product export systematization via Veritrade platform using web scraping tools and compiled the database.
I prepared quarterly progress reports for a collaborative project with various partners, including reviews of compiled financial and operational information.

Research Assistant @ Department of Economics - PUCP [2023]

Assisted PhD. Isabel Guerrero Ochoa by providing support in simulation processes and drafting for a Job Market Paper. Yet to be published.
Collaborated on a working paper, applying the Matlab simulation model from Guerrero’s PhD dissertation. The paper is yet to be published.
Assisted in the design of an impact evaluation for a consultancy referring to Natural Protected Areas.
Collected data from different sources for future research.

Intern @ Inter-American Development Bank [2022]

Developed and maintained automated web scraping pipelines using R to extract and aggregate financial data from government and multilateral institution websites, expanding the data collection to include four additional countries.
Development and application of quantitative analysis methodologies to uncover potential financing opportunities to the clients.

Education

Bachelor of Science in Economics - Pontificia Universidad Católica del Perú
2017-2023
Relevant courses: Econometrics, Applied Statistics, Microeconomics.
Graduate courses: Advanced Topics in Macroeconomics (First place), Advanced Financial Theory (Top 5).

Skills

Python: Machine Learning, Plotting, Web Scraping, OCR tools.
R: Data Processing, Web Scraping.
Matlab: Optimization, Simulations, Time-Series Analysis.
SQL: Data Processing.
Stata: Econometrics, Geotools, Data Process.
Tableau: Dashboards.
Git / Github: Control commands.
Latex / Overleaf: Text editor.