Nicael Jooste

Jun 2021 to Present

Data Scientist

• Develop digital-twin concepts for drinking-water treatment and distribution, with workflows for scenarios, replay, and validation.
• Build and maintain internal Python SDKs for shared data access and domain logic, adopted across a growing data team.
• Build internal applications and decision-support tools with Python, TypeScript, React, and SQL. Several are in daily use across teams.
• Explore integration of scientific models with web-based analysis, with attention to assumptions and reproducibility.
• Support practical AI adoption through multidisciplinary experiments, management briefings, responsible-use guidance, and ChatGPT and Copilot pilots.
• Coach colleagues, contribute to recruiting and onboarding, and improve code review, documentation, and software handoff.

Aug 2019 to Jun 2021

Data Scientist

• 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

Sep 2016 to Jan 2020

Student Assistant

• Supported course development by filming lectures, editing video, and building MOOC content
• Graded assignments and exams, created promotional materials, and helped organize faculty events

Delft University of Technology · 2016 – 2019

MSc Water Management

• 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

Fieldwork photos

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Delft University of Technology · 2011 – 2016

BSc Civil Engineering

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

Fieldwork photos

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