Román Salvatierra
@romnsalvatierra
I build econometric forecasts and credit-risk models from complex data.
What I'm looking for
I've built a Bayesian VAR macroeconomic stress-testing platform in Python, forecasting Argentine activity, inflation, monetary base, and FX-gap scenarios from public data.
I also developed a Home Credit default-risk pipeline using SQL, Pandas, XGBoost, Weight of Evidence binning, and Logistic Regression, achieving a ROC-AUC of 0.7240 while preserving leakage-free inference through out-of-fold stacking.
As a final-year Economics student at Universidad Nacional de Tucumán, I bring econometrics, time-series analysis, hypothesis testing, and independent research experience to data science problems.
Experience
Work history, roles, and key accomplishments
Data Scientist
Self Employed
Final-year Economics student with strong quantitative and statistical background, specializing in econometrics and machine learning modeling. Built a Bayesian VAR macroeconomic forecasting model and a credit-risk scoring pipeline from first principles in Python.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional de Tucumán
Licenciatura en Economía, Economics
2021 -
Pursuing a Licenciatura en Economía with recognition for independent econometric research on declining fertility trends in Argentina.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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