Bridging business strategy and technical data solutions.
I design scalable analytical solutions that connect complex data environments with strategic decision-making. By combining advanced analytics, BI, cloud platforms, and automation, I help organizations turn data into measurable impact.
GitHub LinkedIn 🇬🇧 Resume 🇨🇭 Resume 🇫🇷 ResumeData exploration, statistical analysis and automation using Python.
Writing efficient queries and structuring datasets for scalable analytics.
Gathering needs, writing functional specifications, defining business rules and documenting processes.
Supporting testing phases, validating outputs and ensuring analytical reliability.
Presenting insights, explaining results and supporting decision-making.
Gathering needs, writing functional specifications, defining business rules and documenting processes.
Designing clear dashboards to make data accessible to business teams.
Supporting teams with documentation, training sessions and adoption of data tools.
Building scalable data environments that support reliable reporting, advanced analytics, and cross-functional decision-making.
Automating reporting and analytical workflows to improve efficiency.
Context: Multi-city food delivery operations handling millions of orders.
Challenge: Reduce delivery delays and improve driver motivation and utilization.
Stack: Python • SQL • MongoDB • BigQuery • Metabase
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Context: Data-driven estimation of workplace mental health risk using structured survey data.
Challenge: Design an interpretable and responsible machine learning risk scoring system for sensitive HR-related signals.
Stack: Python • Pandas • Scikit-learn • XGBoost • SHAP • Streamlit
View on GitHubInterested in data collaboration ? Let’s connect.