Maria Oros, Statistician & Data Scientist

My research focuses on the intersection of statistics and machine learning, designing precise and accessible ML models for complex environments with sparse or challenging data. My work spans various fields, often leading to custom open-source solutions such as the Crop Disease Forecasting Tool and ML API.

I hold a background in stochastic processes, statistical inference from the Center of Research in Mathematics and solid experience in Dynamical Systems from the University of Guanajuato, Mexico. I later obtained a Data Science specialization from the University of Navarra, Spain.

My professional journey began in 2019 when I joined a real estate startup in Mexico City as a Data Scientist, where I gained hands-on experience deploying solutions in AWS and developed a passion for innovation and transformation. My enthusiasm for statistics led me to BBVA’s Advanced Analytics team in the Risk Department, where I contributed to the national credit risk loan model from a statistical perspective reporting directly to executive directors. From my experience, I learned the importance of putting the customer first and striving for ambitious goals—values I carry with me every day. Over the past seven years, I have provided statistical consulting for multinationals, applying data-driven insights to complex challenges. Today, I am honored to be part of the staff data science team at the Data Science Institute at UW-Madison, where I provide statistical consultation and support to researchers and industry partners.

I actively contribute to a culture of innovation and growth in my teams, driving business impact from what I have worked on, always with great commitment. I have been recognized by stake-holders and coworkers on my proactivity and attention to detail as it is said in my LinkedIn profile.