Valentina Ponessa
@valentinaponessa
I turn economic and organizational data into evidence-based insights, dashboards, and practical decisions.
What I'm looking for
I'm contributing to a PICE research project evaluating how university scholarships affect academic performance and dropout rates, using causal inference and Propensity Score Matching.
I clean, process, and analyze datasets in Stata and R, prepare empirical reports, and present findings for applied research dissemination. As a Teaching Assistant in Inferential Statistics at Universidad Nacional de Tucumán, I support students, manage assessment databases, and help monitor academic performance.
I'm also developing organizational data science skills through SQL, Python, Power BI, Data Studio, and Advanced Excel, with interests in financial, administrative, and strategic planning environments.
Experience
Work history, roles, and key accomplishments
Teaching Assistant
Universidad Nacional de Tucumán
Aug 2024 - Present (2 years)
Supported students in practical and theoretical coursework, assisting with problem-solving and understanding of statistical concepts. Managed examination and assessment databases and oversaw the department's digital presence.
Research Assistant
PICE Research Projects
Jan 2025 - Dec 2027 (2 years 11 months)
Contributed to a research project evaluating the impact of university scholarships on academic performance and dropout rates. Applied econometric methods for causal inference and processed datasets using Stata and R.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional de Tucumán
Diploma, Data Science
Pursuing a Diploma in Organizational Data Science.
Universidad Nacional de Tucumán
Bachelor's Degree, Economics
Completed a Bachelor's Degree in Economics with a focus on data analysis and economic research.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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