Career Profile
Dynamic and detail-oriented Data Scientist with extensive experience in academic research within social science and public policy. Expert in transforming complex datasets into actionable insights that fuel strategic decision-making. Proficient in data visualization tools like Tableau, Seaborn, and Matplotlib, and advanced statistical analysis. Leveraging a robust research background, I excel at hypothesis testing, data analysis using Python and SQL, and delivering well-substantiated conclusions. Eager to apply analytical expertise in data-driven decision-making in a fast-paced, dynamic environment. Excited about Machine Learning and Big Data, with a particular focus on Exploratory Data Analysis (EDA).
Experience
Researcher
Universidad Carlos III de Madrid
2020-2023
Led data collection, analysis, and visualization using Python and R for the Democratic Government of Funded Pension Schemes Project, resulting in enhanced insights and stakeholder engagement; published two papers and a technical note.
Technologies Used: Python, R, STATA, Slack, Latex
Public policy researcher
Peruvian Ministry of Economy and Finance
2016
Conducted policy impact analyses utilizing SQL and advanced statistical techniques, providing data-driven insights that influenced policy reforms, leading to more efficient tax systems.
Technologies Used: SQL, R, STATA, Slack, Latex
Public policy researcher
Peruvian Ministry of Production
2014-2016
Led national surveys and analysis using data visualization tools like Tableau and Excel, generating insights that shaped strategic policy decisions for economic and educational landscapes.
Technologies Used: Tableau, R, STATA
Data scientist
Peruvian National Customs and Taxes Superintendence (SUNAT)
2013-2014
Developed advanced data visualizations and conducted big data analyses, increasing fiscal revenue by 15% over two fiscal periods using MySQL and Python.
Technologies Used: SQL, Python, Advanced Excel