Skills

Skills across statistics, econometrics, finance, data and digital development.

My MoSEF education structures my quantitative skills; programming, BI, web, mobile and automation let me apply them across varied projects.

Quantitative foundation

Statistics, econometrics and finance before the tools.

I start from questions, assumptions and data. Languages and software come next to model, test, interpret and communicate results.

STAT

Modeling · time series · VAR · inference · interpretation

FIN

Financial series · forecasting · markets · economic reasoning · risk

R · Stata · EViews · time series · VAR · statistical modeling · interpretation

Financial markets · financial series · forecasting · quantitative analysis · economic reasoning

Python · Pandas · NumPy · Scikit-learn · machine learning · preparation and evaluation

SQL · Power BI · Tableau · Excel · indicators · reporting · visualization

PostgreSQL · MySQL · Spark · PySpark · Hadoop · transformation · analytical pipelines

WordPress · HTML5 · CSS3 · JavaScript · PHP · responsive · mobile interfaces · basic SEO · analytics

Git · GitHub · Linux · VS Code · hosting · domain · deployment

How I choose tools

I choose the technology after I understand what actually needs to be solved.

Code, data and results should remain understandable and maintainable.

I add analytics and indicators when they can genuinely help track or improve the project.

See the skills in practice

Browse the web demos and data projects to see how I actually use this stack.