Over G.
Engels
Tweetalig / moedertaal
Nederlands
Vloeiend
Spaans
Vloeiend
Werkervaring
- Amsterdam/Radboud University Medical CentreProject-based Machine Learning/Data Scientist/StatisticianBIOTECHNOLOGIEmei 2020 - Vandaag (6 jaren en 1 maand)Amsterdam, NederlandDevelopment of Machine Learning pipelines for treatment responseprediction in neuro-psychiatric disorders
- Role ongoing throughout my PhD. Devised and led Machine Learning pipelines, applying ML to clinical datasets to facilitate medical decision-making, by devising treatment response predictions from EEG brain signals;
- Gathered project requirements and liaised with various stakeholders: scientists, clinicians, engineers, laymen;
- Executed full machine learning pipelines in Python and R, from importing, preprocessing the data, to training and evaluating models;
- Compared suitability of linear versus non-linear models in predicting clinical outcomes;
- Generated model performance reports;
- Presented complex modeling results to broad audiences from clinicians, researchers to lay audiences;
- Wrote up three manuscripts submitted for publication in high-quality journals;
- Developed and maintained the project codebase, ensuring efficient and maintainable code.
- Non-Stop TechnicalConsultantjanuari 2015 - april 2017 (2 jaren en 3 maanden)
- Business development component: business client acquisition;
- Candidate component: interviewing candidates;
- Advertising component: advertising technical roles;
- Met and exceeded monthly candidate placement KPIs.
Aanbevelingen
Wees de eerste die G. aanbeveelt
Help deze freelancer om te schitteren door te vertellen hoe het is om met hem of haar te werken.
Deze freelancerprofielen matchen ook met zoekopdracht.
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Opleidingen
- PhD in Artificial Intelligence and NeuroscienceAmsterdam University Medical Centre, Radboud University Medical Centre2026- Devised and led Machine Learning projects, applying ML to clinical datasets to facilitate medical decision-making, through devising treatment response predictions; - Python, R programming
- Master of Data Science and StatisticsKatholieke Universiteit Leuven2020- Project example: Amazon book review sentiment analysis in Python. Building a ML pipeline for scraping amazon book review, tokenizing the words and determining whether the review leans positive or negative. - Python, R, SAS, SQL programming