Philippe Nguyen

About

Data scientist, Neurotech/HBP/CHUV, Lausanne, 07/21-now
- Sleep apnea and hypopnea analysis and prediction on clinical data
- Packaging HBP-MIP Data Quality Control Tool
- Technologies: Python/tensorflow
Data scientist, Learn 2 Forecast, Lausanne, 01/20-07/20
- Building a computer vision and time series forecasting web platform
- Development of a time series forecasting open-source library
- Technologies: Python/fastAPI/fastai
Machine learning intern, Learn 2 Forecast, Lausanne, 06/19-12/19
- News article topics extraction with NLP, graph representation to identify trends
- Topological data analysis open-source library development (giotto-tda)
- Neural spike time-series predictions using topological features
- Technologies: Python/scikit-learn/pandas
Research intern, LAMSADE, University of Paris Dauphine, 2018
- Artificial neural network building for art style identification of a picture and painting recommandation, prediction and clustering
- Experimentations based on Triplet loss function
- Dataset generation from existing dataset (Adobe FiveK Dataset)
- Technologies: Python/Keras
Full-stack developer intern, Kibitoh, 2017
- Full-stack development: SMS tracking web application
- System administration: Deployment on remote Linux servers
- Technologies: Python/django, UNIX

Noctilucent, current
- Picture uploading and object classification Android application using Python/Django/Keras remote backend for computation on GPUs
Humbleloop, 2018
- Infinityloop-like puzzle (Constraint Satisfaction Problem) Java generator, satisfiability checker and solver with Vaadin framework GUI
- Constraint Satisfaction Problem (Sudoku, Map coloring) Java solver
Where is Brian, 2018
- Natural text processing for English level classification
- Lemmatisation and artificial neural network classifier implementation in Python/Keras/NLTK

Finalist of Machine learning and finance Hackathon, University of Paris Dauphine, 2019