Leuven, Flemish Region, Belgium
Industrial Engineer, specialized in statistics and technology innovation. I have a special interest in data science and technological innovation projects, applied in the financial sector.
As a Data Scientist at Allianz, I specialize in leveraging advanced analytics and machine learning techniques to drive business value. My key responsibilities include: - Cross Sell Models: Developing sophisticated cross sell models to identify opportunities for additional sales and enhance customer engagement. - Churn Models: Designing predictive churn models to proactively address customer retention and reduce attrition rates. - Customer Lifetime Value (CLV): Creating comprehensive CLV models to forecast long-term customer value and inform strategic decision-making. - Reverse Engineering Competitor Prices: Implementing reverse engineering models to accurately determine the pricing strategies of key competitors, enabling competitive positioning. - Generative AI Projects: Leading generative AI initiatives applied within the contact center and claims department to optimize processes, improve customer service, and streamline claims handling. Tools and Technologies: - Programming Languages: Python - Cloud Platforms: Microsoft Azure - Version Control: GitHub - Databases: SQL My role involves close collaboration with cross-functional teams, ensuring the integration of data-driven insights into various business functions. I am passionate about applying cutting-edge AI techniques to solve complex problems and drive innovation within the organization.
"Innovation in Risk Models Team" Main responsibilities: Construction, validation and monitoring statistics financial models. The main types of statistical models are: Behavior, Fraud, Anticipative Management. The main techniques of modeling are: Machine learning, Decision Tree, Linear Regression, Logistic Regression. Main computer tools: SAS guide, SAS Miner, Python, R, SQL.
Consulting specialized in Business Intelligence and Big Data solutions with a strong focus on the financial industry (banking, insurance, etc.). Main responsibilities: • Construction and validation of the automatic reports for Bank of Spain, Bank of Portugal and European Bank regulator. • Internal optimization of the company, to improve processes through the elaboration of applications in python code. Tools: SQL, ORACLE, Visual Basic and Python.
"Methodological Risk Department" Main responsibilities: Construction, validation and monitoring statistics financial models and operational risk models. The main types of statistical models are: Behavior, Applicant, Fraud, Anticipative Management, Operational Losses. The main techniques of modeling are: Linear Regression, Logistic Regression, Machine learning, Decision Tree, Random Forest Main computer tools: SAS, R, SQL.