Career Profile
Currently doing my end-of-study intership (master’s thesis) at BNP Paribas Personal Finance.
Education
- Foundations of distributed and large scale computing optimization
- Convex optimization and applications in machine learning
- Probabilistic graphical models
- Object Recognition and Computer Vision
- Représentations parcimonieuses
- Apprentissage pour les séries temporelles
- Deep Learning
- Deep Learning in Practice (advanced)
Master degree in Computer Science and Artificial Intelligence
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Introduction to Artificial intelligence
- Deep learning
- Advanced probabilistic methods in Machine Learning
- Statistical inference
- Kernel methods in machine learning
- Information visualization
Two years of intensive preparation for the entry to French engineering schools ’Grandes ´ecoles’
Experiences
- Deploy into production and monitor a machine learning model to predict completion time of construction defects
- Develop BI dashboards for top management at construction companies
- Develop NLP algorithm to standardize construction defects
- Implement State-of-the-art NLP algorithm for Sentiment Analysis on Employee Surveys
- Develop Named Entity Recognition algorithm to anonymize employee data for GDPR compliance
- Integrate, into the main product, Machine Learning algorithms regarding employee Data
- Develop of a crop yield prediction algorithm using machine learning. The algorithm is used in the strategic planning of agricultural production for small scale farmers.
Projects
Few-Shot Voice Cloning - Developed a REST API that turns text into speech using a particular voice
Aspect Based Sentiment Analysis - Developed a sentiment analysis model based on ’BERT’ to extract sentiment from the company reviews based on different aspects (work-life balance, company culture, salary and benefits, ...)