Maria C
Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMaria C is a data scientist and economist based in Paris with eight years of experience translating granular geographic and economic data into policy-relevant insights and production-ready tools. At the OECD she has moved legacy BI workflows to code-first open-source solutions, helped design an internal R package ecosystem, and trains statisticians in reproducible data science practices. Her background in competition economics and time at Deloitte sharpened her skills building R Shiny applications, internal R packages, and embedding Git-based workflows across teams. Maria combines rigorous economic analysis with pragmatic software development, routinely bridging technical and policy audiences to deliver validated, well-documented outputs. Mostly focused on R, she is an active advocate for data literacy and developer best practices within large organisations—a quieter through-line that explains her success scaling tools and skills across teams.
8 years of coding experience
1 year of employment as a software developer
Undergraduate coursework, Finance and International Trade, Undergraduate coursework, Finance and International Trade at Universidad del RosarioBachelor's Degree, Economics, Bachelor's Degree, Economics at Toulouse School of Economics
English, French, Spanish
Github Skills (121)
knitr10
bookdown10
r10
sports-data10
science10
data-science10
del10
rstudio10
que10
shiny9
dplyr9
ropensci9
machine-learning9
tidymodels9
r-package9
Programming languages (12)
Github contributions (5)
mpaulacaldas/r4ds
Feb 2019 - Jun 2022
My solutions to "R for Data Science"
Contributions:19 pushes, 13 branches in 3 years 4 months
sciencerstatsmachine-learningdata-science
mpaulacaldas/cfe-r-training
Jul 2021 - Nov 2021
In-house R training for OECD CFE staff. By María Paula Caldas and Jolien Noels.
Contributions:7 reviews, 153 commits, 8 PRs in 3 months
r-packagecfehousemarrstats
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