Product Owner
Apr 2026 - Present · 4 mosShaping the roadmap for an AI-powered book recommendation platform, turning data on reader behavior into product decisions and feature priorities.
Marketing Data Analyst - Data Strategy for International Expansion
Data is more than numbers. It is the language behind industries, markets, human behavior, and decision-making. My work turns complex datasets into strategic insight, helping organizations see their market clearly and make smarter decisions.
A track record spanning data analytics, marketing strategy and international business development.
Shaping the roadmap for an AI-powered book recommendation platform, turning data on reader behavior into product decisions and feature priorities.
Analyzing customer and sales data to guide marketing decisions and sharpen audience targeting for the brand.
Practical experience in retail sales and operations management, covering the full customer and supply-chain lifecycle, after a dissertation at the University of Westminster on the effect of Brexit on global automotive supply chains.
OnlyFounders is a matchmaking app for entrepreneurs. It helps founders find co-founders and surfaces the best networking events, pitch competitions and incubators in London.
🏆 1st place, pitch competition with the Eligent Club
Vice President of student association Cosmopol ISC, leading two teams responsible for communication and event organization for international students.
Joined the Finance & IT department on a strategic project merging real estate with finance and technology.
Data strategy and analytics work across trade, healthcare, finance, politics, and product. Each project turns raw data into a decision someone could act on.
A dissertation project at the University of Westminster. It studied how Brexit changed the global automotive industry, from supply chains to trade rules.
Brexit changed tariffs, trade rules, and supply routes fast. Automakers needed new data to plan production and sales across borders.
Statista datasets on vehicle production, trade, and tariffs, alongside government and industry reports on regulation changes.
I compared trade and tariff data before and after Brexit. I tracked how manufacturers shifted supply chains and adjusted to new standards across countries.
The findings show how one political decision moves an entire industry. Manufacturers, regulators, and investors can use this kind of analysis to plan for the next trade shock.
University dissertation. View the code on GitHub →
A research project with EY People Consulting, FANAF, and the IFC. It looked at diversity across the African insurance sector.
Insurance companies across Africa had scattered, often incomplete data on gender and diversity in their workforce. Leaders needed a clear read to act on.
Qualitative and quantitative data from insurance companies and industry bodies across multiple African countries.
I collected, cleaned, and analyzed workforce datasets. I combined survey responses with company data to spot patterns in hiring, promotion, and retention.
The team turned these findings into recommendations for FANAF and IFC stakeholders, giving insurers a data-backed case for changing hiring and promotion practices.
Internal research project, not publicly linked. Related public project: Insurance-in-Africa on GitHub →
A university AI project. I built and tested neural networks that read chest X-rays.
Radiologists read huge volumes of X-rays by eye. A model that flags likely pneumonia or cancer cases could speed up that work.
Labeled X-ray image datasets covering healthy patients and cases of pneumonia and certain cancers.
I built a Multi-Layer Perceptron and a Convolutional Neural Network, then compared their accuracy on the same image sets. I tuned each model and measured how well it told sick scans from healthy ones.
The project shows how far a well-trained model can go with a limited image set, and points to where AI can support radiologists rather than replace their judgment.
University research project. View the code on GitHub →
An internship project across BMCE Capital's front and back office. I studied stock market trends and investment portfolios.
Analysts need fast, accurate reads on market moves to advise clients and manage funds. Manual tracking left gaps.
Daily market data, portfolio holdings, and financial indicators, including OPCVM/SICAV fund data.
I tracked market news and price movements each day, then combined this with portfolio valuation and net asset value calculations to build performance reports.
The reports fed directly into investment decisions and client presentations, and sharpened my read on how data supports real money decisions, not just theory.
Internal internship project, not publicly linked. Related public project: Tunisia-Stock-Portfolio-Screener on GitHub →
A research project on political advertising in Belgium. I used clustering to study how campaigns target voters.
Political ads reach different audiences depending on the platform and the message. Regulators and campaigns both need to understand how targeting actually works.
Political advertising datasets and Belgium's regulatory framework for campaign transparency.
I applied clustering and audience segmentation to the ad data, then compared campaign targeting choices against Belgium's disclosure rules to see where practice matched policy.
The findings show regulators where transparency rules do and don't match campaign behavior, a read that matters more as political spending moves online.
Research project. View the code on GitHub →
A personal project building a scraping and benchmarking framework for Meta ad activity across perfume brands.
Brands need a repeatable way to compare ad cadence, spend, and creative approach across competitors, but most benchmarking work is still done by hand.
A demo dataset covering six fictional perfume brands, built to test the pipeline before pointing it at real Meta Ad Library data.
I built a clustering and benchmarking pipeline that groups brands by ad cadence and spend pattern, then ranks them on a composite score.
The framework gives a marketing team a starting point to benchmark competitors' ad activity systematically instead of reading the Ad Library by eye.
Demo dataset, built to test the framework. View the code on GitHub →
My current product at The Redesign Group. An AI-powered bookstore that recommends books based on what a reader actually likes.
Generic recommendation lists don't hold reader attention. Bookstores need a system that reads real preferences and reading history to recommend well.
Book metadata, user preference signals, and reading history data.
I define product strategy and prioritize features for the recommendation engine, and work with engineers on how the algorithm reads book characteristics and user profiles to build each suggestion.
The product is in active development. Early results are shaping a discovery experience built around what each reader actually reads next.
Private product, currently in development.
Outside client and coursework, competition, leadership, and travel shape how I see markets and people.

Won 1st place at the ELIGENT Investment Pitch Day in London while representing OnlyFounders. The event brought founders, investors, and entrepreneurs together to pitch startup ideas.

Served as Vice President of Cosmopol ISC, leading teams that welcomed international exchange students and organized cultural events across France and Europe.

I love discovering new cultures, economies, and views through travel, and have visited 31 countries so far.
Coursework spanning data science, international trade, and business strategy, built on a quantitative foundation.
In progress, on an apprenticeship track alongside my Product Owner role at The Redesign Group and my prior Marketing Data Analyst role at Maison de Senteurs.
Coursework included Global Trade and Business Project, International Political Economy, International Trade, Strategic Perspectives, Research Methods in Business, and Professional Experience in Global Trade and Business. This is where I completed my dissertation on Brexit's impact on the global automotive industry.
One semester abroad in Seoul, part of what brings the country count in the stats above to four. The experience taught me to adapt to new cultures, and gave me new tools for learning and working that opened my mind to the world.
The base three-year bachelor's degree behind both the Yonsei exchange and the Westminster dual degree above.
I write an article after finishing each major data project: what I found, what interested me in the sector, and practical read-outs from the industries I study.

A data-backed look at how political decisions alter global supply chains, tracking the shift from friction-free trade to new regulatory boundaries in British car manufacturing.
The UK automotive sector changed completely after leaving the European Union. Before Brexit, parts moved across the English Channel with zero paperwork. Today, new border checks and rules-of-origin requirements have reshaped the industry, from trade volumes to where manufacturers source their parts.
See full blog →
An overview of artificial intelligence in healthcare, focusing on clinical decision support and the partnership between medical staff and automated screening tools.
Artificial intelligence already screens for diabetic retinopathy, flags strokes in minutes, and helps hospitals prioritize the most urgent scans. None of it replaces a clinician's judgment. It just gets the right case in front of the right person faster.
See full blog →
A measurement study of political advertising in Belgium, tracking what happens to a party's visibility once attention shifts from broadcast TV to social platforms.
Belgium's broadcast rules keep certain parties off live TV. Social platforms carry no such rule. A real dataset of Meta ads shows that gap does open a door, even with real difficulties attached to walking through it.
See full blog →Open to Product, Data Analyst, and Data Strategy opportunities - reach out anytime.