profile sourced from GitHub
Scouting report
Dominican economics student doing real econometric and forecasting work in R/Python
assessed from open-source footprint
A UASD economics student and aspiring data analyst whose two original repos are substantive applied econometrics: a gender-wage-gap analysis of the Dominican Republic using ENCFT microdata and a Mincer equation with robust standard errors, plus COVID-era U.S. retail-sales forecasting with SARIMA and Random Forest. No stars yet, but the work is methodologically real and domain-grounded — a promising early-stage data/forecasting profile rather than generic tutorials.
Authorship & open source
What they build
Industry experience
- Health & Wellness
- E-commerce & Retail
Signal breakdown
0
2
0% forks
0
2 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on gender-wage-gap-dominican-republic
- Consistently active, low abandonment
- Data / ML focus
- Domain experience in Health & Wellness & E-commerce & Retail
- Core stack: R, Jupyter
About
Skills
- R
- Jupyter
Featured work
Gender Wage Gap Dominican Republic
Econometric analysis of the gender wage gap in the Dominican Republic using ENCFT 2016 microdata — Mincer equation with robust standard errors
- R
by Richard Federico Gil Romero
Retail Sales Forecasting Covid
Counterfactual analysis of U.S. retail sales using SARIMA and Random Forest — COVID-19 impact
- Jupyter
by Richard Federico Gil Romero