Jerónimo Marchán

• Developed detailed technical documentation to facilitate knowledge sharing among team members and aid in future troubleshooting efforts.
• Data processing using R and Python
• Task automation using Python

• Conducted thorough risk assessments for complex insurance portfolios, reducing potential losses for the company.
• Performed actuarial calculus of pension plans in use of PUC methodology

• Developed data visualization tools to clearly convey research results for nonexperts.
• Applied SARIMA models for econometric analysis of time series data.
• Data processing using R and STATA
• Data analysis for the research project on the development of the Ecuadorian cocoa value chain and its relationship with rural youth employment, as part of the consultancy provided by the Pontifical Catholic University of Ecuador to the Food and Agriculture Organization of the United Nations (FAO).

• Organized research materials, maintaining a well-ordered workspace conducive to productivity.
• Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
• Data processing using R and Stata.
• Conducted literature reviews to support hypothesis development and identify gaps in existing knowledge.

• Data processing and Power BI dashboard creation on social, economic, educational, health, and security indicators, published on https://iie-puce.com/cachaladata/.

Responsibilities:
Data collection and processing using statistical tools such as STATA.
Presentation of results in Excel. Report writing.

Co-author:
Working Paper No. 3 “Poverty Analysis with an Intersectional Approach”.
https://iie-puce.com/analisis-de-la-pobreza-con-enfoque-interseccional/

Co-author:
Bulletin “Poverty in Ecuador: An Intersectional Perspective, 2009–2021.”

Reference:
Carolina Sanchez — asanchez679@puce.edu.ec — Tel: +593 994 526 251