About Me

I am a statistician and data scientist with international academic and industry experience in predictive modeling, machine learning, natural language processing, and statistical analysis. My background combines a strong foundation in mathematics and statistics with hands-on work in both academia and applied data science.

I am an incoming Economics PhD student at the University of Deusto (Spain).

I completed my M.Sc. in Mathematics & Statistics at Wilfrid Laurier University (Canada), where my research focused on the predictive power of financial news sentiment using statistical algorithms. During my master’s, I worked as a Graduate Teaching Assistant in the Department of Mathematics, in courses such as Probability, Linear Algebra, and Data Analytics.

Previously, I earned my B.Math. in Statistics at the University of Waterloo (Canada). I also received first place in the Premio Extraordinario de Bachillerato in the Basque Country, Spain.

Beyond academia, I have held data analytics co-ops (internships) at TD Bank, Commerzbank and Audi, gaining experience in financial modeling, risk analytics, and business intelligence. More recently, I worked as a Consultant at EY-Parthenon, where I applied data-driven insights in strategy and analytics projects related to finance and pensions.

Whenever I have some free time, I also work as a freelance consultant on projects related to data science and data analytics. If you are interested, feel free to reach out!

On another note, my research and professional interests include:

• Machine Learning & Predictive Modeling
• Natural Language Processing & Text Analytics
• Applications in Economics, Finance, and Data-Driven Decision-Making/business settings

I am fluent in English (C2), German (C1), Spanish, and Basque, and I enjoy working in international and interdisciplinary environments.

Outside of work, I am passionate about teaching, mentoring, and contributing to projects that bridge theory and practice in data science.