Wendpagnagdé Romuald Axel Kabore

With a dual background in actuarial science and data science, I bring a unique mix of statistical rigor, business insight, and technical expertise. My actuarial training gives me a strong foundation in risk assessment, forecasting, and financial modeling, while my data science skills allow me to leverage advanced analytics, machine learning, and data engineering techniques to solve a wide range of business problems.

I help clients structure, analyze, and interpret complex datasets to unlock actionable insights. Whether it’s building predictive models, designing pricing strategies, optimizing processes, or creating intuitive dashboards, I make sure the solutions are both technically sound and aligned with the project’s strategic goals. I am experienced in working with Python, R, SQL, and common data visualization tools, and I am comfortable translating technical results into clear recommendations for non-technical stakeholders.

What sets me apart is my ability to combine deep quantitative expertise with a pragmatic approach to business needs. I don’t just deliver models — I deliver solutions that are explainable, usable, and that directly support decision-making.

By working with me, you gain a partner who can:

My goal is to provide value at every stage of your project: from defining the problem, through data preparation and modeling, to delivering actionable, business-oriented insights.