Data Scientist

• Mar 2022 - Present

Global Factories is a producer of machines that repack and verify different types of medicine into cup and blister cards or pouches to improve adherence and safety of distribution of medicines and lower the risk of re-admittance of patients to hospitals. These machines produce enormous amount of data that can be used to monitor and improve their performance. As a Data Scientist my tasks include: - Maintaining our Microsoft Azure cloud environment, including Data Lake storages that contain telemetry data that is sent by machines that are located at customers and distributors of Global Factories. - Extract, transform and load (ETL) big data (JSON files) with Apache Spark (Python/Scala) using Azure Synapse Analytics. - Creating SQL serverless views on the Delta Lake in Azure Synapse Analytics. - Visualise and analyse data in Microsoft PowerBI for several departments, such as software development, sales, purchase and customer care. - Feature engineering and building Machine Learning algorithms (e.g. decision tree classifiers, lineair regression) to analyse data. - Developing Azure Functions (C#) to extract or process data. Besides, I followed a C# software development course at BetaBit. This program covered: C# fundamentals, object-oriënted programming, interfaces, generics, working with nulls, defensive coding, error handling with exceptions, asynchronous programming, unit and mock testing, dependency injection and LINQ. Show less

PhD candidate

• Apr 2017 - Feb 2022

- Genetic study that included identifying RNA in cells upon cellular stress (RNA-seq). - Processing raw data to a workable and clean data set, including feature engineering. - Apply statistics, cluster and build models using machine learning tools to find patterns in the data set (Scikit-Learn, SciPy). - Convert statistics and models to presentable graphs using visualization tools (Seaborn, Matplotlib and Bokeh). - Collaboration with many other scientists. - Developed strong skills in project management, analyzing data critically and to cope with stress. - Programming languages used: Python, R and bash. Courses: - Python for data science and machine learning. - Introduction to Python for Life Sciences. - Introduction to R for Life Sciences. During my PhD I supervised two undergraduate students. Thesis committee: Prof. Geert Kops (Promotor, Hubrecht Institute) Prof. Catherine Rabouille, (Promotor, daily supervisor, Hubrecht Institute) Prof. Alexander van Oudenaarden (Hubrecht Institute) Prof. Jop Kind (Hubrecht Institute) Show less

QC Technician

• Jan 2017 - Mar 2017

Production Employee

• May 2014 - Dec 2016

Intern Molecular Genetics/Nucleotide Exicision Repair

• Feb 2016 - Aug 2016

Photolyases can repair UV-induced DNA damages by photo-reactivation using visible light as energy source. We believed that photolyases can be used as an effective tool to investigate damage specific binding and dissociation kinetics of nucleotide excision repair proteins. My work therefore extended the use of photolyases to study NER proteins by using live-cell imaging. Techniques: - Mammalian cell culture - Molecular cloning - Lentiviral transduction - Immunofluorescence - Confocal microscopy - Live-cell imaging Show less

Intern Molecular Oncology

• Feb 2015 - Aug 2015

Studied the mechanism of ABCC6-mediated ATP release. I have made an attempt to elucidate the mechanism of ABCC6-mediated ATP release with bioluminescence-based assays and a relatively new protein identification method, BioID. In addition, I tried to determine the functionality of ABCC6 expressed in yeast. Techniques: - Mammalian cell culture - Bioluminescence-based assay - Western blotting - Cloning - Confocal fluorescence microscopy - Yeast cell culture - PCR - Agarose gel electrophoresis - Proximity-dependent biotin identification. Show less

Intern Clinical Genetics / Connective Tissue Disorders

• Sep 2013 - May 2014

Graduation project / Scientific research to Primary Ciliary Dyskinesia (PCD). Primary ciliary dyskinesia (PCD) is an autosomal recessive disorder characterized by impaired ciliary function in the upper- and lower respiratory tract. Patients suffer from multiple respiratory tract infections, eventually leading to permanent lung damage (bronchiectasis). It is a rare condition, which occurs in 1: 15.000-30.000 newborns. An early diagnosis of PCD is essential, so treatment to preserve lung function can start as soon as possible. However, the diagnosis of PCD in children is difficult as there is no gold standard test. The aim of this project was to test a targeted-exome sequencing approach for the diagnosis of patients with PCD. Techniques used: - DNA isolation - RNA isolation - PCR - Agarose gel electrophoresis - Sanger sequencing - Library preparation for targeted sequencing (Illumina) - Library hybridization with targeted kit (illumina) - Next-generation sequencing (HiSeq2500) - Software used: Integrative Genomics Viewer v2.3.5 and Alamut v2.4 Show less

Production Employee

• May 2011 - Feb 2014

Intern Clinical genetics

• May 2013 - Jul 2013