FC
Francesco Castaldi
[ DISCIPLINE // data science ]

Data Science & Analytics

PROFICIENCY LEVEL • expert

Statistical modeling, data pipelines, BI as code, and visualization using Python (NumPy, pandas, Matplotlib), DuckDB, and Apache Superset.

[ Related Systems & Builds ]
Evidence — BI as Code (Open Source Contribution)
Svelte · TypeScript · SQL · Open Source
[→]
Apache Superset — Enterprise Localization & Specs
Python · Flask · React · TypeScript
[→]
Duckle — Workspace Orchestration & Template Engine
DuckDB · Python · SQL · ETL/ELT
[→]
HailCast-ML — Radar Nowcasting & Hail Detection
Python · Machine Learning · Computer Vision · Meteorology
[→]
VeloMetric — Road Cycling Wear Telemetry
Python · TypeScript · Strava API · Telemetry
[→]
Epson Air Resuscitator — Wireless EEPROM Resetter
Reverse Engineering · SNMP · Python · Networking
[→]
TruMetraPla — Industrial Productivity Dashboard
Python · Data Analysis · Dashboard · Pandas
[→]
SIR Markov Chain — Stochastic Epidemic Simulation
Python · NumPy · Matplotlib · University
[→]
BenzaTracker — Vehicle Refuel Telematics
Python · ttkbootstrap · Flask · SQLite
[→]
CI Cervical LBC — Deblurring & Image Restoration
Python · PyTorch · DiffPIR · University
[→]
SGF² AI — Algorithmic Fairness & SHAP Auditing
Python · scikit-learn · pandas · University
[→]
Superset Calendar Filter — Custom React Plugin
Superset · TypeScript · React · Cross-Filter
[→]
[ ← Back to Competencies ]
[ FC.SYS // ENG ]
GitHub|LinkedIn|Email
FRANCESCO CASTALDI © 2026