Building Decision Systems with Modeling, Optimization & ML

I’m Zyad, a data science and full-stack engineer focused on building decision systems.

I design and deploy end-to-end applications that combine frontend, backend, databases, and ML/optimization models to solve real-world problems.

I recently completed a Data Science internship at DXC Technology, where I contributed to analytics and decision-support tools, leveraging AI-driven modular architectures. I’m currently pursuing a Master’s in Modeling and Optimization (MODO) at Paris Dauphine–PSL, with a strong focus on operational research and scalable decision-making systems.

Over the past two years, I’ve been building multiple data and full-stack projects, including Solance, a decision-support platform aimed at improving user decision-making in crypto trading through risk-aware modeling and quantitative signals.

My goal is simple: turn models into production systems that actually drive decisions.