About

Hi, I’m Stephen — I turn messy data into clean systems and actionable insights. Amsterdam-based, MSc Mathematics (2026), and I’ve been building production data systems for over a decade.

Quantitative Analyst | Data Engineer — Applied quantitative work on real datasets; production data systems & finance-grade architecture. Strong communication (15+ years STEM education). Bilingual (EN/NL).
Python, SQL, TypeScript · Pandas, PySpark, scikit-learn · AWS S3, Docker, Terraform, CI/CD · Next.js, React, REST APIs · Statistical modeling (GLM, mixed-effects, time series) · ETL pipelines, data governance.
Math → models → systems → insights. I like things that scale and docs that don’t lie.

What I do Link to heading

By dayBy night
Data pipelines, APIs, and platform architectureMSc thesis: Entanglement-assisted zero-error communication (quantum info theory)
Stephen’s Privélessen — production systems for exam training at scaleTeaching mathematics & STEM (VMBO → VWO)
Finance-grade data platform design (ohpen.stephenadei.nl)Helping students with stats, ML, and reproducible workflows

Stack at a glance Link to heading

flowchart LR
    subgraph Languages
        A[Python] --> B[SQL]
        B --> C[TypeScript]
    end
    subgraph Data
        D[Pandas] --> E[PySpark]
        E --> F[scikit-learn]
    end
    subgraph Infra
        G[Docker] --> H[AWS]
        H --> I[Terraform]
    end
    subgraph Web
        J[Next.js] --> K[React]
    end

Background Link to heading

  • UvA — MSc Mathematics (Quantum Informatics & Dynamical Systems), expected 2026
  • UvA (SOWISO) — Developed online math modules (basic skills, Analysis 1)
  • Lyceo — Exam trainer & content guide (2015–2021)
  • Stephen’s Privélessen — Own practice since 2010: tutoring, platform, and data systems

Reach out via Contact or the links below. 👇