💼 Professional experience
Agilytic
Data Scientist Since 2021
- Retail: Analysis and modeling of customers’ behavior. Causal ML evaluation of marketing campaign performance using A/B testing and propensity matching. Use of LGBM regressor model and XGBoost.
- Predictive maintenance: Deals process analysis, and flags deviant ones. (Python analysis)
- Acquiring entity: Estimation of the impact of a change in business model. (Python analysis)
- Public Sector: CRM cleaning automation tool to extract, correct, and load data into the CRM system of the client, along with reporting on the results. Cloud infrastructure for Python scripts, and PowerBI reporting.
- Retail: Predictive modeling of client’s Net Promotion Score. (XGBoost)
- Public Sector: Customer Segmentation and Reporting. (feature engineering, PCA and KNN analysis)
- Non-Profit: Causal inference for evaluation of marketing campaign performance. (propensity matching, sensitivity analysis)
- Banking: Research project on fraud detection among salary slips, building of predictive algorithms, and feature engineering from DCT transformation. (Logistic regressions, decision tree, SVM, and random forest)
- Banking: NLP process and Image processing for automation of invoice data extraction.
- Debt recovery: Predictive modeling for scoring the probability of debt recovery. Development of SVM predictive model, and conversion to SQL.
- Recruitment: Use of NLP for CV skills and experience extraction.
Université Libre de Bruxelles (ULB)
PhD Candidate & Teaching Assistant in Innovation Valuation Since 2022
My academic focus is on the use of Advanced Econometric and new latest AI techniques to assess the monetary (and social) value of patent granting. I use NLP analysis to perform feature engineering on patent data; currently exploring various regressors to assess the environmental value of innovation.
I teach third-year students the econometric models used to perform a monetary valuation of IP rights.
Yves Rocher
Intern 2019 Management Accounting in the Trade Logistics department.
🦾 Certifications, trainings
Methodologies
- Research in Econometrics and Time series (ARIMA, SARIMAX, Griliche’s model, Diff-in-diff)
- Parametric and nonparametric estimation and testing
- Linear and non-linear approaches for regression and classification
- Data Modeling
- Descriptive and Predictive Analysis
- Optical Character Recognition
- Image Processing
Software & programming
- Python, Matlab, R
- Timi Suite
- Power BI
- Databriks
- Google Looker
- Arduino
🎓 Academic credentials
- Master in Economics: Econometrics with focus Research in Economics and statistics European Center for Advanced Research in Economics and Statistics (ULB) on-going
- MSc Business Engineering Solvay Brussels School of Economics and Management, 2021 Cum Laude
- Quantitative Technics for Economics and Management (QTEM), 2021
🇺🇳 Languages
🇫🇷 French: Native
🇬🇧 English: Fluent
🇳🇱 Dutch: Working proficiency
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.
