Data Analyst | Python · SQL · Tableau · Machine Learning
I am a data analyst based in France. I co-authored peer-reviewed machine learning research published in an Elsevier journal and completed a data analytics practicum with Mayerfeld Consulting, turning raw business datasets into dashboards, statistical findings, and recommendations. I work across the full analysis cycle, from data cleaning to the slide a stakeholder actually reads.
Data Analyst | Python · SQL · Tableau · Machine Learning
I am a data analyst based in France. I co-authored peer-reviewed machine learning research published in an Elsevier journal and completed a data analytics practicum with Mayerfeld Consulting, turning raw business datasets into dashboards, statistical findings, and recommendations. I work across the full analysis cycle, from data cleaning to the slide a stakeholder actually reads.
Business Analytics in Practice: Mayerfeld Consulting Practicum
In my Data Analytics Practicum at Mayerfeld Consulting I ran industry-style business cases end to end: framing the question, cleaning and joining data in Python and SQL, running statistical tests, and building Tableau dashboards that close with a recommendation, not just a chart.
Published ML Research: Building and Environment (Elsevier, 2025)
I co-authored Daylight Factor Predictor, a peer-reviewed study in Building and Environment (Elsevier, Q1) on predicting daylight compliance in buildings with machine learning. I built the Python pipeline behind a 900,000-point dataset and benchmarked ANN, XGBoost, and Pix2Pix models to over 90% accuracy against real regulatory standards.
Toolkit
From Buildings to Datasets
I trained as an architect and moved into computational design at IAAC, where data replaced drawing as my main tool. The result: comfort with messy, real-world data, and the habit of presenting technical results to non-technical stakeholders.
Full background →
