Curriculum Vitae

Professional Summary

I bridge complex water operations with modern software engineering, combining hydrology, GIS, drinking-water treatment context, operational data, and AI-assisted development to build internal platforms, SDKs, APIs, simulation-oriented workflows, and decision-support tools. My strongest work is translating ambiguous domain knowledge into inspectable software foundations that can survive beyond a pilot. Recent work includes digital-twin platform capabilities for drinking-water treatment and distribution, internal Python SDKs, and PHREEQC/EPANET-oriented simulation workflows.

Selected Systems & Capabilities

Technical Skills

Professional Experience

Staff Data Scientist | Applied AI & Data Platforms

Dunea N.V.

Jun 2021 to Present

• Initiated and built early digital-twin platform capabilities for drinking-water treatment and distribution, translating telemetry, laboratory measurements, topology, treatment context, operational assumptions, and validation logic into inspectable software workflows
• Designed live-state, historical replay, scenario-analysis, and reporting workflows around operational telemetry, lab data, treatment context, distribution topology, source metadata, and data-quality flags
• Create and maintain internal Python SDKs that bridge enterprise data platforms and end-user workflows through standardized data access, API wrapping, reusable domain logic, and automation
• Build internal applications and services with FastAPI, React/Next.js, TypeScript, SQL, Azure services, cloud functions, Docker, and CI/CD pipelines, using Power BI where an operational reporting surface is the right fit
• Work on Python-based integration patterns for domain solvers such as PHREEQC and EPANET, connecting scientific models to web-based decision-support and scenario workflows
• Helped move internal data work toward stronger software practices by making validation, maintainability, code review, typed interfaces, documentation, deployment discipline, production ownership, and SDLC requirements explicit
• Identified LLMs early as a transformative technology, initiated a multidisciplinary LLM focus group, helped shape practical ChatGPT/Copilot experimentation, and co-founded an internal innovation group

Data Scientist

Crunch Analytics

Aug 2019 to Jun 2021

• Developed ETL pipelines, dashboards, and machine-learning models for clients in horticulture and retail
• Worked directly with clients to understand operational needs, scope projects, and deliver usable analytics solutions
• Automated data workflows with Python, SQL, and Power BI
• Took part in proposal writing, workshops, and recruitment efforts alongside a small, agile team

Student Assistant

Delft University of Technology

Sep 2016 to Jan 2020

• Supported course development by filming lectures, editing video, and building MOOC content
• Graded assignments and exams, created promotional materials, and helped organize faculty events
• Learned from working with dedicated researchers and students in a high-paced academic environment

Education

MSc Water Management

Delft University of Technology · 2016 – 2019

• Specializations: Water Resource Management, Hydrology

• Thesis: Investigating the MetOp ASCAT vegetation parameters with clustering

• Multidisciplinary project: Testing mobile data gathering in the Phetchaburi river basin and possible applications

Field Experience

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BSc Civil Engineering

Delft University of Technology · 2011 – 2016

• Thesis: Improving water treatment processes at PDAM Tirtawening Kota Bandung

For our thesis, we travelled to Bandung, Indonesia, to improve the water treatment process at PDAM Tirtawening. We discovered that performance issues weren't due to one major fault but many small ones, like broken metering equipment and poor coagulant dosing. By introducing a few simple changes, we reduced turbidity by over 60%. The real fix wasn't expensive equipment, but better understanding and maintenance. Presenting our findings to the plant's director was a proud and eye-opening moment.

Field Experience

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