Hello, I am
Marian Garabana Garrido
Data that drives decisions.
MSc Business Analytics and Data Science at IE University. I build AI-driven data work, from agentic pipelines to predictive models, that turns messy data into decisions people can act on.
Skills that turn data
into decisions.
Languages
Python
SQL
MySQL
Machine learning
scikit-learn
XGBoost
Keras
statsmodels
RLGym-PPO
Data
pandas
Polars
GeoPandas
NumPy
Matplotlib
Visualization and BI
Tableau
Power BI
Streamlit
MLOps and cloud
MLflow
FastAPI
Docker
AWS
Git
GitHub
Weights & Biases
Agentic AI
LangGraph
Claude
Gemini
ChatGPT
Grok
Professional experience.
I join Accumin Intelligence in September 2026 as a Business Analyst, on a transformation project to digitalize the company and put AI into how it operates. The work is automating processes and building the analysis behind better data-driven decisions.
I research how ventures and emerging technologies will shape the future of insurance, with Vienna Insurance Group. I am building an AI agent pipeline that finds mitigating technologies and estimates their financial impact, feeding a climate risk simulation framework VIG can use to plan ahead. We defended the work to VIG executives in Bilbao, and it doubles as my masters capstone.
I automated recurring reporting workflows and cut manual tax reporting by 80%, and reduced manual workload by 50% per project. I used SQL, Power Query, and AI-driven tools, and cleaned large datasets to improve accuracy by 20% while managing several client projects at once.
I built the data layer for a beverage distributor in Mexico: a MySQL database that pulled 615,615 transactions from 2023 to 2025 out of spreadsheets into one place, and six Tableau dashboards the team could read demand from by route, product and period without asking an analyst. On top of it I built a weekly forecast of average order size that came within about 25% on average, which is 75% on a mean absolute percentage error basis. The analysis showed how concentrated the business was, with 20 of the 74 delivery routes carrying 56% of revenue, and fed three cost-saving strategies and the route planning that followed. The forecasting half became my undergraduate capstone.
What I've studied.
- Grade: Graduate Student.
- Master's GPA: 3.93 / 4.0.
- Overall class ranking: 2 of 120.
- IEX Labs Research Intern.
- IE Latin America Scholarship.
- IE Sustainability Datathon, 7th edition winner.
- Advanced Tech Track member.
- Class Representative.
- MXT member.
- Wellbeing Ambassador.
- Goalkeeper for Keiser women's soccer.
- Academic Merit Scholarship.
- Summa Cum Laude Award, GPA 3.98.
- Class ranking: top 5%.
- All-Academic Awards from 2022 to 2024.
- Dean's List and President's List.
- Research: "Impact of College Life on Student-Athletes: A Study on Mental Health, Lifestyle, and Performance".
- Research: "Integrating Business Intelligence for Sales Forecasting and Strategic Decision-Making".
- Generative AI for Data Analysis, Professional Certificate.
- IBM Data Science Professional Specialization.
- Business Intelligence Data Analyst career path.
- Data Scientist analytics career path.
- AWS Cloud Practitioner, in progress.
- Summa Cum Laude.
- Academic Excellence Graduate Award.
- Dean's List, IE University.
- IE Sustainability Datathon, 7th edition, 1st place.
- Third place at an undergraduate research symposium.
- Best Delegate and Outstanding Delegate at Model United Nations.
A bit about me.
I was born and raised in Mexico, and I moved to Florida to study Business Analytics at Keiser University. I went there on an athletic scholarship to play for the women's soccer team, which right now is ranked number one in the nation in the NAIA. Competing and carrying a full course load at the same time is where I learned to plan my weeks carefully and to keep my standards up in both.
After finishing my bachelor's I decided to move to Madrid for a master's in Business Analytics and Data Science at IE University, with a concentration in Advanced AI. I chose that program for two reasons: I wanted to make my technical side stronger, and I wanted to reach the job market ready to work rather than still catching up. I set a second goal alongside it, which was to be the healthiest version of myself. That means training for half marathons and getting stronger in the gym, and it keeps me steady when the academic side gets heavy.
These days my work is AI-driven from start to finish. I build agentic pipelines, predictive models, and dashboards, and I care about the parts that make them last: clean data, honest metrics, and results a person can act on. I was a student athlete before this, so I am used to working hard, staying calm under pressure, and pulling my weight on a team.
Let's build something
with your data.
Always up for connecting and getting to know new people. Say hello.












