01
Web development & digital presence
WordPress · Elementor · Gutenberg · HTML5 · CSS3 · JavaScript · PHP · responsive design · SEO basics · Google Analytics · Search Console · Canva
Skills
A hybrid stack to build, analyze and evolve digital solutions.
I combine directly usable web skills with an academic and technical foundation in statistics, econometrics, finance and data science.
Data Science
Machine Learning and Deep Learning as specializations.
Data science is the broader framework: preparation, exploration, modeling, validation and interpretation.
ML
Machine Learning
Scikit-learn · supervised learning · model selection · evaluation
DL
Deep Learning
TensorFlow · PyTorch · neural networks · CNN · LSTM
02
Data Science
Python · Pandas · NumPy · data preparation · feature engineering · validation and interpretation
03
Econometrics & statistics
R · Stata · EViews · time series · VAR · statistical modeling · economic interpretation
04
Finance & markets
Stock markets · financial time series · forecasting · quantitative analysis · economic and financial reasoning
05
Data Engineering & databases
SQL · PostgreSQL · MySQL · Spark · PySpark · Hadoop · transformation · analytical pipelines
06
Visualization & BI
Power BI · Tableau · Excel · Chart.js · D3.js · results communication
07
Development & delivery tools
Git · GitHub · Linux · VS Code · hosting/domain basics · WhatsApp Business · client workflow
Approach
Tools in service of an outcome.
Problem before tool
Choose technology after understanding the need.
Clarity before complexity
A useful solution should be understandable and maintainable.
Measure & improve
Prepare tracking so the solution can evolve over time.
From stack to proof
View projects →Want to see these skills applied?
The Projects page shows concrete work across web, finance, econometrics and data engineering.