Hello!
I am a data scientist with 7 years of experience from tech, finance, and consultancy, plus 8 years of research experience, analyzing data and building models. I use R, Python and SQL, and I am certified in Machine Learning. I hold a Ph.D. specialized in econometrics, with graduate education in mathematics, during which I developed estimators with high-frequency financial data at a top time-series research centre. Before that, I worked with panel data and causal inference for policy impact. I was a leader at Women Who Code (Director) & R-Ladies (Co-Organizer).
Ph.D. in Economics ∙ Aarhus University, CREATES, Denmark ∙ 2018 🇩🇰
M.Sc. in Economics ∙ Aarhus University, CREATES, Denmark ∙ 2015 🇩🇰
M.A. in Economics ∙ Universidad de Montevideo, Uruguay ∙ 2013 🇺🇾
B.A. in Economics ∙ Universidad de la Republica, Uruguay ∙ 2011 🇺🇾
Lately…
Blog
Naked Statistics
It explains the intuition behind many statistical concepts in an accessible way. He keeps it simple, engaging, and fun, with many real-life examples from sports, business, politics, games, product guarantees, and more. It also covers how statistics are used and communicated. It’s entertaining with humorous passages.
Read moreProjects
Project 1
Short catchy description here about the project
Read moreTalks
Parallel Computing in R
Simulations with parallel computing using classes in R.
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