Maria Oros
Data Science Consulting · Statistics · Machine Learning · AI
I help research groups and organizations turn complex data into clear, defensible decisions. Drawing on a decade of experience across industry and academia — and my current role at the UW–Madison Data Science Institute — I deliver statistical modeling, machine learning, and AI solutions for high-stakes scientific and business problems.
My work centers on translating rigorous methods — causal inference, Bayesian statistics, and foundation models — into production-ready systems, reproducible tools, and results that hold up to scrutiny. I partner with research labs, industry teams, and open-source communities on projects spanning agriculture, biopharma, finance, and beyond.
I trained in mathematics at the University of Guanajuato and CIMAT under Dr. Carlos Valero and Dr. Rafael Herrera Guzmán, and now work alongside Dr. Kyle Cranmer and faculty at UW–Madison. As a Latina in STEM and first-generation college graduate, I lead engagements with care — building the kind of collaborative space where rigorous work and good partnership reinforce each other.
Professional Experience
UW–Madison Data Science Institute
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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.
Game Coder Studios
Data Analyst
- Core data analyst for Runiverse, an MMORPG video game.
- Performed statistical analysis and large-scale simulations to evaluate game design scenarios.
- Provided data-driven recommendations to support strategic game design decisions.
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.
Aprende Institute
Data Analyst Mid
- Designed A/B testing principles to improve user experience and learning outcomes.
- Member of the Insights team supporting data-driven decisions for the front office.
- Applied statistical analysis to evaluate E-learning platform performance and user behavior.
True Home
Junior Data Scientist
- Developed and deployed a national real estate pricing model used in production.
- Led data curation and extraction pipelines across multiple data sources.
- Applied NLP techniques to detect legal issues in property listings and improve automation reliability.
CIMAT & University of Guanajuato
Mathematics Degree — Graduate Studies
- Graduated By 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.