I combine Python, SQL, visualization, and business thinking to build reliable analysis—from raw inputs to clear outcomes.
Data pipelines & quality
Analysis & decision support
Clear business communication
Selected work
Projects that show the full thinking process—not just the final chart.
A historical decision-support project for shifting flexible electricity use toward lower-cost, lower-carbon hours. Built from four external data sources and carried from API ingestion and UTC-aligned ETL through MySQL, analysis, and an interactive Streamlit prototype.
More analysis
Compared a redesigned digital flow across 50,488 clients. The completion lift was significant, but it missed the required +5-point threshold and came with a higher error rate.
Evaluated on a 50,000-row sample
Explored class-imbalance strategies and compared model behavior using precision, recall, and F1—keeping evaluation focused on the rare fraud class rather than headline accuracy.
Average cost per conversion
Analysed 10,000 campaigns to compare channel efficiency, budget patterns, and conversion costs—turning descriptive exploration into practical marketing observations.
Profile
My background brings together marketing, gaming, and hands-on data analytics. That combination helps me connect technical work with customer, commercial, and operational questions—not only describe what happened, but explain why it matters.
I am especially motivated by renewable energy and sustainability, while remaining open to analytics opportunities across sectors where reliable data can support better decisions.
Ironhack · 2026
LUMSA University · Rome
Python, SQL, MySQL, ETL, APIs, statistics, machine learning
Streamlit, Tableau, Matplotlib, Seaborn
Let’s connect
Open to Data & Analytics roles across the Netherlands, with a particular interest in energy, sustainability, commercial analytics, and data quality.