Clément excels at combining business and technical skills to effectively formulate requirements and translate them into actionable data products. His ability to tackle complex projects and apply advanced techniques demonstrates his proficiency in both understanding business needs and delivering technical solutions. Clément's dedication to continuous learning and innovation makes him a valuable asset to any team.
💼 Professional experience
Agilytic
Senior Data Scientist Since 2021
- Home Security: Developed a churn prediction model following a price increase for a subscription-based home security operator
- Customer Retention (Retail): Developed predictive models for estimating Net Promotion Scores using XGBoost, to better anticipate customer churn.
- Retail Analytics: Collected and formalized business requirements. Modeled customer behavior and assessed marketing campaign performance using causal ML, A/B testing, and propensity (to buy or leave) matching with LGBM and XGBoost.
- Debt Recovery Prediction: Developed an SVM model to predict debt recovery likelihood, with SQL integration.
- Health Insurance: in charge of the Data Academy, aimed at upskilling internal collaborators towards Data Analyst position. Scope includes program definition, training material, lesson instruction and knowledge transfer to the internal team. The mission involved Data Scientists tasks such as ad-hoc analysis for business users. The skills teached consist of
- Python
- SQL
- Git/Github
- Redshift
- Data Viz and Tableau
- Advertisement: Developed a full pipeline for data ingestion and standardization on a daily basis, deployed using SQL, Spark, and Databricks. Creation of a data model and a semantic model in PowerBI.
- Retail Forecasting: Led a team of four on a 7-month forecasting project for a multinational firm (€12bn+ annual revenue), delivering an ML-based solution that improved existing sales forecast accuracy by 15% and deployed in the Azure Environment.
- CRM Automation (Public Sector): Elaborated functional requirements and created a data cleaning automation tool for CRM systems, integrating cloud infrastructure and PowerBI reporting.
- Business Model Impact Analysis: Estimated the impact of a business model change using SQL & Python analysis.
- Project Management: Led a team of four on a five-month forecasting project for a CAC-40 company (€12bn+ annual revenue), delivering actionable predictive solutions.
- Media Forecasting: Developed an ML-based sales forecasting tool, improving the accuracy of existing methods by 15%.
- Predictive Maintenance: Analyzed processes and flagged outliers to improve equipment reliability. (Python-based analysis)
- Customer Segmentation (Public Sector): Conducted customer segmentation and reporting using PCA and KNN analysis.
- Marketing Campaign Evaluation (Non-Profit): Applied causal inference to assess marketing effectiveness with propensity matching and sensitivity analysis.
- Fraud Detection (Banking): Built fraud detection algorithms for salary slips using logistic regression, decision trees, SVM, and random forests.
- Invoice Data Automation (Banking): Implemented NLP and image processing for automated invoice data extraction.
- Recruitment Automation: Used NLP for automated extraction of skills and experience from resumes.
Université Libre de Bruxelles (ULB)
Teaching Assistant in Data management and business analytics
🦾 Certifications, trainings
Methodologies
- Regression and Classification: Expertise in both linear and non-linear methods for regression and classification, including SVM, XGBoost, and LGBM.
- Descriptive and Predictive Analytics: Conducting both descriptive and predictive analyses to extract insights and forecast future trends.
- Machine Learning Techniques: Proficient in implementing advanced machine learning algorithms, including causal inference models, A/B testing, and propensity matching.
- Econometrics and Time Series Analysis: Research in econometrics with techniques such as ARIMA, SARIMAX, Griliche’s model, and Difference-in-Differences (Diff-in-Diff).
- Parametric and Nonparametric Estimation and Testing: Application of both parametric and nonparametric approaches for statistical estimation and hypothesis testing.
- Data Modeling: Development and validation of complex data models for predictive analytics and decision support.
- Optical Character Recognition (OCR): Implementation of OCR for text extraction from scanned documents and images.
- Image Processing: Utilization of image processing techniques for data extraction, automation, and feature enhancement.
- Causal Inference: Application of causal ML and inference methods, including propensity score matching, sensitivity analysis, and experimental design (e.g., A/B testing).
Software & programming
- Python, Matlab, R
- Timi Suite (Anatella, Modeler)
- Power BI,
- Databricks
- Google Looker
- Arduino
🎓 Academic credentials
- M.Sc. Research in Statistics and Econometrics European Center for Advanced Research in Economics and Statistics (ULB), 2024 Cum Laude
- M.Sc. 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.