I turn messy data into reliable KPIs, dashboards, and decision-ready systems — with a strong focus on data quality, maintainability, and real execution.
Data and BI are the core of my positioning. Machine learning extends that foundation, and web/game projects remain supporting proof that I can design, structure, and ship complete systems.
Click any project to open a detailed case view with context, architecture, rationale, constraints, and implementation decisions.
Academic projects matter, but stronger credibility comes from handling imperfect data, reporting constraints, and business-facing delivery.
I worked on data quality, structuring, and analytical usability across institutional data. The work was less about theoretical dashboards and more about making inconsistent data genuinely usable for reporting and decision-making.
My academic path became much more valuable once I started turning school work into stronger deliverables: better project structure, clearer documentation, more explicit technical tradeoffs, and more serious public-facing repositories.
I do not like fake percentage bars. I would rather show what I actually use, what I build with it, and what I optimize for.
I like elegant interfaces, but I care more about whether the underlying project is actually sound.
I am currently looking for an opportunity in Data Analysis, BI, or Analytics Engineering.
This final section is prepared to embed a playable JavaScript project. For now, it is wired for Morpion Ultime so the portfolio can end with something interactive instead of a static card only.
This project matters because it is not just another toy game: it combines game rules, search algorithms, decision logic, and a UI layer in one coherent interactive system.