A short resume of my professional skills.
I've worked a few years in large financial institutions, doing statistical and mathematical modelling. Then, after developing a passion for computers and tech, and a few startup projects, never shying away from actually solving and tackling the hard problems, I have acquired a good skill in analyzing and modelling data or processes, and delivering performant and stable systems that are clean, minimalist and useful. Core technologies
python ↗↗↗ git ↗↗↗ debian/ubuntu ↗↗↗ pandas/numpy ↗↗↗
ansible ↗ c/c++ ↗ c# ↗ java ↗↗
Jupyter ↗↗↗ Airflow ↗↗↗ Hadoop ↗↗↗ Excel ↗↗↗
R ↗↗ Rstudio ↗ rpy2 ↗↗ pythonnet ↗↗↗
Flask ↗↗↗ SQLAlchemy ↗↗↗ Wordpress ↗↗
Microsoft Azure ↗↗ Apache/nginx ↗↗↗ systemd ↗↗ crossbar ↗↗
PostGIS ↗↗ openstreetmap ↗↗ Shapely ↗↗
ERP5 ↗ SlapOS ↗ jIO ↗↗
Optimization (BFGS, NCG, Nelder-Mead) ↗↗
Statistics (Regressions, Maximum Likelihood, Copulas) ↗↗
Financial mathematics (Ito, Merton, Black, HJM, Vasicek, SABR) ↗↗
Machine Learning (Convolutional NN, XGboost, decision trees) ↗
Lately I've been involved in projects mostly as a full-stack python developer.