I am an Expert Data Scientist and statistician with a strong foundation in Machine Learning and extensive experience leading AI-driven projects. I hold a Ph.D. in Economics from the University of Bonn, Germany, with Summa Cum Laude honors, specializing in ‘Essays on Large Panel Data Models.’ My academic background also includes a Diploma in Economics, focusing on quantitative methods from the University of Bonn, and a Diploma of High Business Studies with a specialization in mathematical finance from the University of Carthage, Institute HEC, Tunisia.

As a Product Owner for Data Science and AI Products in the Innovation department of Deutsche Telekom Service, I lead the development of cutting-edge AI applications for predictive servicing and routing. Together with a talented team of MLOps engineers and senior data scientists, we create innovative AI solutions. My role not only involves shaping the product vision, defining strategic priorities, and engaging with stakeholders, but also contributing to the technical conception of our AI solutions and working closely with IT and MLOps engineers to ensure feasibility and seamless delivery. I am responsible for conceptualizing new features, driving cross-functional collaboration, and continuously refining the product to meet evolving business needs. Through this work, I aim to create impactful AI solutions that enhance service efficiency and deliver measurable value. One of my project ideas has been submitted for patent registration at the European Patent Office.

My professional journey further includes a tenure as a Quantitative Credit Risk Specialist at Commerzbank AG from 2014 to 2017. In this role, I was involved in developing scoring models and internal rating approaches, predicting customer default probabilities and loss rates. Additionally, I undertook responsibilities in stress testing model validation, providing insightful reports, and contributing to portfolio analysis.

I have also extended my expertise to education, serving as a Lecturer at the University of Applied Science Darmstadt from 2016 to 2017. Here, I imparted knowledge on the mathematical foundations of credit risk modeling within the Department of Applied Mathematics.

Throughout my career, my research pursuits led me to a role as a Research Associate at the University of Bonn (2008 – 2014) where I delved into advanced econometric models such as large panel data models and static/dynamic factor analysis. My passion for research also took me across borders as a Visiting Researcher at Rice University, USA, in 2014, exploring endogenous panel data models with time-jumping parameters.