Three analytical projects built around real business problems. Each follows a rigorous data-to-decision framework combining commercial intuition, quantitative methods, and strategic thinking. Currently on exchange in Iceland, and using it as a competitive advantage.
An e-commerce platform generating steady traffic but struggling to convert one-time buyers into loyal customers. RFM segmentation and cohort analysis revealed four actionable customer tiers.
Built during an academic exchange in Reykjavík. A 14-indicator framework comparing France and Iceland across commercial viability, risk exposure, and market opportunity for French SMEs.
Last-click attribution was systematically misdirecting budget. A Markov chain attribution model exposed the true conversion contribution of each channel across 140,000 sessions.
I approach business problems the way a consultant would: start from the question, identify the right data, build the analysis, then translate findings into clear, actionable recommendations. Every project in this portfolio follows that same arc, from problem framing to projected business impact.
My analytical work is anchored in the Google Data Analytics Professional Certificate and reinforced through self-directed learning in Python, SQL, and statistical modelling. My international exchange in Iceland added a dimension most analysts lack: genuine field intuition from a market that defies standard European frameworks.
I am particularly interested in the intersection of commercial strategy and data science, where quantitative rigour meets business decision-making.
"Data without strategy is just numbers. My goal is to bring both to every business decision."
Start with Project 01 →