## Summary Data scientist passionate about building trustworthy AI solutions that deliver measurable business impact. Over 5 years of experience translating cutting-edge research into applied AI solutions across finance and healthcare. Proven track record of delivering impactful projects within diverse, international settings. ## Work Experience ### Machine Learning Engineer **ML6, Belgium** | *April 2025 - Present* - Scoped and implemented end-to-end agentic AI workflows into real-world financial data pipelines - Automated financial calculations using generative AI, reducing manual processing time from months to minutes ### Researcher **KU Leuven, Belgium** | *Oct 2020 - Present* - Designed explainable ML methods increasing the trust and adoption of AI-based decision systems in business settings - Led 17 MSc data science projects (2-3 students, two award-winning teams), both academic and industry collaborations - Published 11 peer-reviewed papers including top-tier venues (IEEE TSC, EJOR, ESWA, ICPM) - Presented at invited talks and lectures on ethical and explainable AI to academic and corporate audiences ### Visiting Researcher **Queensland University of Technology, Australia** | *Aug 2023 - Dec 2023* - Developed counterfactual models for ICU admission prediction, enabling clinicians to identify patient risk factors - Funded by Research Foundation of Flanders (FWO) grant for long stay abroad ### Research Assistant **KU Leuven, Belgium** | *June 2020 - Oct 2020* - Developed a Python data science tutorial on descriptive analytics and advanced multivariate statistics ### Master Thesis Intern **Brainjar, Belgium** | *Sep 2019 - March 2020* - Publication: [Explainability and Fairness in Machine Learning: Improve Fair End-to-end lending for Kiva](https://ieeexplore.ieee.org/abstract/document/9308371) - Mitigated gender bias in Kiva's lending recommendations, increasing overall fairness by 39.97% across six key metrics ### Data Analyst Intern **TVH, Belgium** | *Jan 2020 - March 2020* - Built customer segmentation models to identify the top 10% of high-value clients, enabling targeted sales strategies ## Education ### Doctor of Philosophy (PhD) **KU Leuven** | *Oct 2020 - Dec 2024* PhD booklet: [Trustworthy Artificial Intelligence for Business Process Analytics](https://drive.google.com/file/d/1WDpihsP3pon49CrsXoSGizYy569bjMoV/view?usp=sharing) ### Master of Business Engineering **KU Leuven** | *Sept 2018 - June 2020* - Major: [Data Analytics and Business Applications](https://onderwijsaanbod.kuleuven.be/2023/opleidingen/e/SC_53419709.htm) - Exchange semester at the Sophia Antipolis campus (Nice, France) ### Bachelor of Business Engineering **KU Leuven** | *Sept 2015 - Sept 2018* - Exchange course at IÉSEG School of Management (Lille, France) ## Skills & Expertise - **Machine Learning:** Predictive modelling, deep learning, XAI, fairness, robustness, NLP, process mining - **Data Engineering:** Deploying scalable solutions on major cloud platforms (Python, SQL, Docker, Git, Azure/GCP) - **Consulting & Communication:** Problem scoping, stakeholder alignment, translating AI insights to strategic value - **Languages:** Dutch (Native), English (Fluent/Professional), French (Proficient) ## Projects & Certifications ### Hobby Projects - **[Horizon](https://dcf-frontend-355089933221.europe-west1.run.app/)**: A self-hosted investment analytics platform integration live market data - **[West-Flemish HPT](https://github.com/AlexanderPaulStevens/West-Flemish-HPT)**: A large language model trained from scratch with self-scraped West-Flemish data ### Certifications - Fundamentals of Accelerated Data Science (NVIDIA) - 6 Introductory Data Science Courses (DataCamp) - Post-graduate course: [Trustworthy and Explainable Artificial Intelligence](https://www.ugain.ugent.be/opleidingen/aanbod/AI2022/AI2022.pdf) ## Contact 📧 alexander.stevens@telenet.be 📍 Leuven, Belgium 📱 +32 471 55 07 73 💼 [LinkedIn](https://www.linkedin.com/in/AlexanderPaulStevens) | [GitHub](https://github.com/AlexanderPaulStevens)