Florent joined Agilytic in 2022 following a PhD in Medical Psychology and Addictology. His previous experience allowed him to gain expertise in advanced statistics and data science while coaching and supervising his interns.
During the last 5 years, Florent has managed complete data projects (business understanding, data acquisition, processing, analysis, and visualisation) in R and Python, and conducted coding in Python and JavaScript on models to be run online and on-premises in Gaming, Finance, Real Estate and Retail industries. He also developed data visualisation and storytelling skills that he now teaches at UCL for the Junior Data Analyst Program. Florent loves to be in direct touch with the business to help them in answering their questions. He recently mentored a team of Data Analysts to support them in growing their technical and storytelling skills.
💼 Professional experience
Agilytic
Senior Data Scientist Since 2022
- Pharmacy: developed and productionized a lead time forecasting tool (Python, Time Series, Pyspark)
- Health Insurance: training data analysts on the use of python for more advanced analysis (python, SQL, Tableau)
- Leisure: Data processing automation and segmentation of customers into actionable clusters (SQL, python, PowerBI)
- Online retail (ongoing): data consolidation and analysis, and sales forecasting for 200 products (python, PowerBI)
- Retail: development of a tool to forecast sales and optimize the stocks of several hundreds of references in physical stores (python, PowerBI)
- Retail: Development of a demand-forecasting model (python, PowerBI)
- Real estate: review and improvement of existing data flows and reports (SQL, PowerBI) to better assess the quality of incoming leads and sales
- Finance: requirements review with the business, development and automation of a 2-page report, tailored to each customer for performance review and improvement (SQL, python)
- Healthcare: Data scraping of practitioners details (python)
- Education: gathering business needs, translating them into actionable dashboards and developing the pipelines to automate their production (SQL, python, PowerBI)
- University: elaborating and giving training to students on coding, data storytelling and visualisation
Université Libre de Bruxelles
PhD candidate in Computational Psychiatry
2018 - now
- Project management
- Built complete data processing pipeline from acquisition to analysis
- Experimental protocols building
- In-depth review of master thesis involving analytical aspects
- Supervision of interns
Private Teacher
- Statistics
- Coding (R & Python)
🦾 Certifications, trainings
Methodologies
- Data processing
- Data visualization
- Statistical Inference
- Reinforcement Learning
- Unsupervised Artificial Intelligence
- Natural Language Processing
Software & programming
- Python
- R
- SQL
- Power BI, Tableau
- Git
- Docker
- AWS fundations
- SPSS
🎓 Academic credentials
- PhD Computational Psychiatry
- MSc Clinical Neuropsychology
- BA Clinical Psychology
Université Libre de Bruxelles, current
Université Libre de Bruxelles, 2018
Magna Cum Laude
Université Libre de Bruxelles, 2016
🇺🇳 Languages
🇫🇷 French: native
🇬🇧 English: fluent
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.