Kay Hoogland is a Head of Data and machine learning engineer with nine years of experience applying predictive modelling and data products to finance and operations. At Floryn she progressed from ML Engineer to Senior ML Engineer and now leads Data Analytics and Data Science, building and operationalizing credit-risk models as Python microservices integrated with Ruby on Rails platforms. Her background includes deploying forecasting solutions for KLM operations and hands-on experience in clickstream/process-mining, generative creative AI for commerce, and healthcare prediction models from early internships. She combines strong academic training in data science and engineering with practical product-minded delivery, emphasizing deployable, monitored ML systems rather than one-off experiments. Colleagues would note her trajectory from technical contributor to leader while keeping code-centric, production-first practices.
Master’s Degree Data Science & Entrepreneurship (joint degree), Master’s Degree Data Science & Entrepreneurship (joint degree) at Jheronimus Academy of Data Science
Honors Program Big Data Data Analysis (30 ECTS), Honors Program Big Data Data Analysis (30 ECTS) at Eindhoven University of Technology
Small application to scrape afvalstoffendienstkalender.nl and make it available through a REST API
Contributions:2 PRs, 7 pushes, 2 branches in 2 years 2 months
apipythonscraperestscraper
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.