Data science
For complex analysis, machine learning, model validation and experimental design. I help with everything from data preparation and testing hypotheses to a model that can be used reliably in practice.

HELLO, I’M CHRIS
I’m Chris Jacobs, Senior Data Specialist and founder of Sweet Lake Analytics. I combine data science, software development and automation to turn complex challenges into reliable solutions for everyday operations. As an independent specialist, I deliver complete projects and join internal teams on a freelance or interim basis.
My experience spans scientific research and bioinformatics, geospatial data, machine learning and operational data solutions. At organisations including the Max Planck Institute, AND and Bayer, I worked with genomics, GIS and GPS data, computer vision, classification models and predictive analytics. This breadth has taught me to get to grips with new domains quickly and turn different types of complex data into practical solutions.
My PhD and postdoctoral research shaped how I work: formulating hypotheses, designing careful experiments and making results reproducible. I get to grips with new problems quickly, ask critical questions and explain technical decisions clearly to researchers, developers and business stakeholders.
My scientific work resulted in 17 peer-reviewed publications. You can find them on Google Scholar.
Independent and structured. Rigorous in analysis, pragmatic in delivery.
Available for freelance projects and interim team support. Based in Zoetermeer, I work on hybrid or on-site assignments in the Randstad, or remotely.
Discuss your project or interim assignmentFrom a clearly defined challenge to temporary support for your team. I work across four areas, independently or alongside your internal specialists.
For complex analysis, machine learning, model validation and experimental design. I help with everything from data preparation and testing hypotheses to a model that can be used reliably in practice.
For data pipelines, APIs, SQL, system integration and data modelling. I bring data together into a reliable, maintainable foundation for analysis and operational applications.
For reducing manual work and connecting systems. I map out processes and build suitable workflows, integrations and applications around the way your organisation works.
For KPIs, reporting, dashboards and decision support. I translate information needs into useful insights, giving your team clarity and a foundation for informed decisions.
An overview of my tools and technical knowledge. For each assignment, I choose what fits your challenge, team and existing environment.
GOOD TO KNOW
You don’t need a large data team or perfectly organised systems. A recurring manual task or a question your current data cannot answer is a good starting point. Together, we explore what is feasible and useful.
Yes. I also take on freelance and interim assignments on internal projects. I can join your team for model development and validation, data analysis, data engineering or process automation. We agree on the role, time commitment, duration and handover together.
That is usually the starting point. During discovery, we review your systems, APIs, files and available access. I then propose an approach that fits.
That depends on your challenge, available data and the intended solution. After an initial conversation, you receive a proposal with scope, timeline and price. Any support after delivery is agreed separately.
YOUR NEXT STEP
Have a specific challenge or need temporary expertise in your team? Tell me about your project and let’s discuss how I can help.