Raulin is an economist, university professor, and consultant with a strong passion for data analytics. With over 20 years of experience spanning academia, consulting, and applied research, he brings a rare combination of intellectual rigor, practical insight, and technical skill. Raulin holds a Ph.D. in Economics from the University of Rennes 1 in France, providing a strong foundation for his analytical and research expertise.
He served as Dean of the School of Business and Economics at Quisqueya University and later as Director of Research Visibility at the university's Office of Research and Innovation. In these roles, he led curriculum development, built international partnerships, and promoted academic excellence and research impact.
As a consultant, Raulin has advised organizations in the public and private sectors, including international institutions, on issues related to financial markets, public finance, and economic development. His insights have helped institutions design more effective policies, evaluate development programs, and make evidence-based strategic decisions.
Raulin's approach is firmly data-driven. He leverages advanced tools in Python, R, econometrics, and data visualization to turn complex data into actionable intelligence. Grounded in excellence, integrity, and lifelong learning, Raulin is committed to uncovering meaningful insights that create value and impact.
If your organization needs clear, data-informed analysis to support strategy, policy, or decision-making, connect with Raulin via LinkedIn.
Raulin's passion for data analysis began during his economics studies, sparked by his initial exposure to inferential statistics. Consulting experience, advanced studies, and research further refined his skills in statistics and econometrics. In 2015, he discovered the power of R, embarking on a programming journey. Raulin's dedication led him to organize several seminars, introducing professionals to R, and teaching it at two universities. Today, in addition to R, his programming expertise extends to Python, SQL, and SAS. Committed to continuous learning, he showcases his skills through projects like this website, which he developed with Python. Part of his data analysis portfolio can be explored on this website.