
Luuk Van De Wiel
Website Improver & Administrative Support

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About me
Medior Data Scientist at Data Science Lab
Education

Valuascollege Venlo
2007 - 2013VWO (bilingual, German) profile: N&T 8,4 (cum laude)With certificate “best Atheneum student Valuascollege Venlo 2012-2013”.

Utrecht University
2016 - 2020Master of Science (MSc) Game and Media Technology 8,42 (cum laude)Master's degree in: Computer ScienceProgramme: Game and Media Technology

Utrecht University
2013 - 2016Bachelor of Science (BSc) Computer Science 8.38 (cum laude)
Experience

D&M
Jul 2011 - Aug 2011Website Improver & Administrative Support
Valuas College
Aug 2011 - Jun 2013Student TutorTutoring of students in the following subjects: Physics, Chemistry, Economics, Dutch, Mathematics

Malmberg
Jun 2013 - Dec 2015Content EditorRekenblokken MBO: Content editing and correcting

Studentenvereniging UMTC
Sept 2016 - Sept 2017Chairman of the Board of the BarUMTC is a student association with 300 members. In a team consisting of eight members of this board (also known as Barcollegie or Sociëteitsbestuur) we're responsible for running the bar for a year. As chairman, my tasks include being the spokesperson for our board and supervising our board, but also keeping up relations with the neighbourhood and the municipality.

Utrecht University
Sept 2018 - Apr 2019Teaching AssistantTeaching Assistant for the following courses:- Data Mining (Master course)- Artificial Intelligence (Bachelor course)- Design of Interactive Systems (Bachelor course)

Studentenvereniging UMTC
Sept 2018 - Sept 2019Treasurer of the BoardIn this full-time board function at UMTC, I'm responsible for the financial policy, which includes collecting the annual contributions, debtor and creditor management and financial support for various committees and other entities within the association

Ynformed
Sept 2019 - May 2020Master Thesis StudentAt the Data Science company Ynformed, I worked with real-life water sensor data to develop and compare outlier detection algorithms in an unsupervised setting. Online data streams are used to create multiple models, which can be used to determine whether newly found data points should be classified as outliers. This is key in water data to find out which sensors may be malfunctioning, which can occur on account of various reasons. This specific project is targeted at water data, but it's findings may have a wider sphere of influence. Show less

Oddity.ai
Oct 2020 - Feb 2024Deep Learning DeveloperAt Oddity, I performed machine learning engineering tasks like training state of the art action recognition models in TensorFlow and PyTorch. Also, I worked on successfully bringing those computer vision models into production at multiple clients. Here, a balance between model accuracy and model performance is vital. Moreover, I performed research into those key components, like model inference with TensorRT.

Data Science Lab.
Feb 2024 - nowMedior Data Scientist
Licenses & Certifications

Goethe-Zertifikat C1
Goethe-Institut e.V.Jun 2012.webp)
Anglia Proficiency C1
Ascentis (Awarding Organisation)Aug 2011
Languages
- enEnglish
- geGerman
- duDutch
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