Tinka V

Data Scientist & Storyteller

Netherlands
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Summary

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Senior
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Top School
Tinka V is a data scientist and storyteller with a decade of experience applying machine learning to humanitarian and climate challenges, currently shaping climate-resilient products at Climate Adaptation Services. She has built predictive models for anticipatory action at the UN OCHA Centre for Humanitarian Data and published research on satellite-based building assessment, blending rigorous ML with real-world impact. Passionate about collaborative design, she translates technical insight into user-centered tools and narrative-driven experiences, including an educational sustainability dice game for children. Her work spans continents and sectors—from energy forecasting startups to museum experience design—demonstrating a rare mix of technical depth, creative facilitation, and pedagogical instinct. Tinka’s practice centers on co-design and empathy-driven solutions, believing impact emerges when data and people shape ideas together.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor of Applied Science (BASc), University College Twente, Technology and Social Sciences, Major: Machine Learning, Bachelor of Applied Science (BASc), University College Twente, Technology and Social Sciences, Major: Machine Learning at University of Twente
bookMaster of Science - MS, Machine Learning and Data Mining, Master of Science - MS, Machine Learning and Data Mining at Aalto University
languagesEnglish, Dutch
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Github Skills (35)

gis10
analytical10
weather-data10
artificial-intelligence9
python8
deep-learning8
netcdf8
predict8
dask7
predictive-analytics7
percentage7
generative-model7
prediction6
mechanism6
machine-learning6

Programming languages (5)

RHTMLSvelteJupyter NotebookPython

Github contributions (5)

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Code for the AA CERF pilots
Contributions:9 reviews, 12 PRs, 57 pushes in 4 months
OCHA-DAP/pa-ocha-bucky

Oct 2020 - Dec 2020

Since March 2020, the OCHA Centre for Humanitarian Data’s predictive analytics team has worked closely with the Johns Hopkins University Applied Physics Laboratory to build one of the first COVID-19 models specifically designed to support humanitarian response.
Contributions:43 commits, 12 PRs, 33 pushes in 1 month
predictive-analytics
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