Maria Oros
Data Science Consulting · Statistics · Machine Learning · AI
I am a Statistics PhD student at the University of Wisconsin–Madison, where I am fortunate to be mentored by exceptional faculty. My research interests span uncertainty quantification, machine learning and data science, information theory, causal inference, and statistical methods with theoretical guarantees. On the applied side, I have worked across industry and academia, developing data-driven solutions to complex problems. I am particularly passionate about breaking down interdisciplinary barriers and bringing together ideas from different fields to develop more comprehensive solutions to complex real-world problems, especially in settings where data are scarce, noisy, or difficult to obtain.
Professional Experience
UW–Madison Data Science Institute
Powered by American Family Insurance
Data Scientist
- Managed a portfolio of data science research projects with UW–Madison, partner universities, and industry stakeholders.
- Designed and developed statistical, machine learning, and AI-driven solutions.
- Reported results and insights directly to academic and industry stakeholders.
BBVA (Mexico & Spain)
Analyst Data Scientist
- Led the development of a national-scale credit risk assessment model for individual customers.
- Built and validated statistical models used in production decision systems.
- Collaborated directly with stakeholders across Mexico and Spain.
CIMAT & University of Guanajuato
Mathematics Degree — Graduate Studies
- Graduated with a thesis on Hamiltonian Systems and Gaussian Processes, with coursework in Dynamical Systems, Fourier Analysis, Stochastic Processes, and Mathematical Physics.
- Awarded the CONACYT scholarship to pursue thesis research in theoretical mathematics and physics.
- Thesis dissertation approved unanimously upon defense.
Publications & Research
Selected Publications
↗ Full list on Google ScholarPresentations & Talks
Services
Engagements typically combine the practices below — scoped to the problem, the data, and the decision at stake.
Statistical Modeling
- Bayesian inference & hierarchical models
- Causal inference & experimental design
- Meta-analysis & evidence synthesis
- A/B testing & decision analysis
Machine Learning & AI
- Predictive & forecasting models
- Foundation models & LLM applications
- Anomaly detection & risk scoring
- Model validation & monitoring
Research Collaboration & Advising
- Applied research partnerships
- Method development & technical review
- Reproducible open-source tools
- Strategic advising for data teams
Tooling
Languages
- Python
- R
- SQL
- SAS
Cloud & DevOps
- AWS
- GCP
- Docker
- Git / GitHub
Featured Projects
Mechanistic Modeling of Hydrophobic Interaction Chromatography
Developed mechanistic models to characterize protein behavior in hydrophobic interaction chromatography (HIC), a key purification step in biopharmaceutical manufacturing. The models capture adsorption dynamics and elution profiles to support process development and reduce experimental burden.
Open Lambda
Contributed to the design and development of the Open Lambda website, shaping the visual identity of this open-source serverless platform.
Agricultural Forecasting System
Open-source tool for predicting crop disease risks using ML models.
Economic ROI Calculator
Economic models for fungicide profitability assessment.
Team & Collaborators
What Collaborators Say
Maria is doing great work with an impactful set of projects. The many testimonials are a sign of the value of her work to our partners and DSI. She is very committed to the mission of DSI.
Themes that emerge across recommendations:
Moments
A few moments with my team and collaborators across projects in data science, agriculture, and open-source tools.