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Jeroen Frans

Jeroen Frans

Statistician

Vrije Universiteit Brussel

Technologies

My Portfolio Highlights

My New Course

Introduction to Functions in Python

My New Course

Advanced Deep Learning with Keras

My New Course

Intermediate Python

Data philosopher, pondering the mysteries of existence through statistical analysis.

My Work

Take a look at my latest work.

course

Intermediate SQL

course

Intermediate Deep Learning with PyTorch

PythonTheory
course

Advanced Deep Learning with Keras

Python
course

Intermediate Python

article

Using Autoencoders for Fraud Detection

notebook

GitHub - jeroenfr/SparkStream

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

LSTAT Statistical Machine Learning with R

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

VUB - Vrije Universiteit Brussel | Jul 2024 - Present

Statistics teacher

N/A

Heilig - Hartcollege - Tervuren | Apr 2021 - Dec 2023

Mathematics teacher

N/A

KU Leuven | Mar 2019 - May 2021

PHD Researcher

Researching applications of deep learning in the field of data quality and data management.

Hedera Insights | May 2018 - Feb 2019

Data Scientist

N/A

Contribute Group | Jul 2017 - May 2018

Data Scientist

N/A

Sagio.be VZW | Jul 2016 - Apr 2017

Tutor

Tutoring for courses in social statistics and data analysis: explaining theoretical concepts, help solving exercises and assisting in working out study methods and planning.
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My Education

Take a look at my formal education

Master of Science (M.Sc.), StatisticsUniversity of Leuven | 2017
Master of Arts (M.A.), WijsbegeerteUniversity of Leuven | 2016
Bachelor of Arts (BA), WijsbegeerteUniversity of Leuven | 2014

About Me

Jeroen Frans

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