Adrián Muñoz García

Adrián Muñoz García

Senior Data Scientist and Statistics Professor

Indra | Universidad Autónoma de Madrid | MIT Sloan School of Management

Biography

I am currently working as a Senior Data Scientist at Indra, where I develop and deploy machine learning models in the mobility sector. My work focuses on optimizing traffic flow and enhancing transportation systems through advanced data-driven solutions.

In addition to my professional work, I have conducted research in Behavioral Economics, Cognition, and Methods. I also taught university-level statistics using R, helping students gain a deep understanding of statistical methods and their application.

On my blog, I manage two main projects (The project is paused):

* "R in Biostatistics": A comprehensive resource for Biostatistics students, teaching R from the basics to advanced techniques.
* "Useful R": A collection of code snippets and practical R functions designed to streamline everyday data tasks.

Currently, the blog is in Spanish, but I am in the process of translating all content into English to make these resources accessible to a wider audience.

Interests
  • 📈 Data Science
  • 🐘 Behavioral Economics
  • 👀 AI
  • 🌄 Sports and Mountain
Education
  • PhD in Behavioral Economics and Data Science, 2022

    UAM

  • MIT Visiting Student, 2022

    Massachusetts Institute of Technology

Skills

Research
Data Science
Reporting
Machine Learning
Entrepreneurship
Management

Recent & Upcoming Talks

Intelligence and Dishonesty
Intelligence and Dishonesty are related
Intelligence and Dishonesty

Experience

 
 
 
 
 
Indra
Senior Data Scientist
Nov 2023 – Present Madrid
At Indra, I lead the development and deployment of machine learning models for mobility and traffic flow prediction projects, with both national and international reach. My work involves building robust, data-driven solutions that deliver actionable insights for mobility companies, optimizing traffic management and improving operational efficiency. From model design to real-time deployment, I ensure that our solutions directly support the strategic objectives of our clients in the transportation sector. |2- * Machine Learning & AI: Expertise in developing and deploying predictive models for mobility and traffic flow optimization. * Model Deployment: Proficient in end-to-end machine learning lifecycle, including model training, testing, and real-time deployment. * Data Analysis & Feature Engineering: Strong skills in extracting, analyzing, and transforming large datasets to derive actionable insights. * Python & Libraries: Proficient in Python, with extensive use of libraries such as TensorFlow, Scikit-learn, Pandas, and NumPy for machine learning. * Big Data & Databases: Knowledge of handling large-scale data using tools like Hadoop, Spark, and SQL/NoSQL databases. * API Integration: Skilled in integrating machine learning models into production environments through RESTful APIs. * International Project Management: Experience managing machine learning projects across national and international markets. * Traffic Flow & Mobility Expertise: Specialized knowledge of mobility systems and traffic prediction algorithms. * Agile Methodologies: Experience working in Agile environments, collaborating with cross-functional teams to deliver scalable solutions.
 
 
 
 
 
Publicis
Data Scientist
May 2023 – Oct 2022 Madrid
I worked in the Advanced Analytics Department, where my primary focus was building Marketing Mix Models (MMM) to deliver accurate forecasts that optimized advertising investment strategies. This involved leveraging data-driven insights to inform decision-making and crafting long-term strategic roadmaps to maximize marketing effectiveness and ROI.
 
 
 
 
 
MIT Sloan
Visiting Student
Mar 2022 – Jul 2022 Boston
 
 
 
 
 
Kodo People
Researcher / Data Scientist
Jan 2019 – Present Madrid

Responsibilities include:

  • Economic Games implementation
  • Analysis of complex data
  • Insights Reports
 
 
 
 
 
Universidad Rey Juan Carlos
Professor of Statistics
Jan 2020 – Present Madrid
Basic Statistics using R to undergraduate students
 
 
 
 
 
Behave4
Behavioral Researcher
Jan 2019 – Dec 2021 Madrid

Responsibilities include:

  • Building data-driven solutions to organizations
  • Consultancy
  • Analysis of complex data
  • Insights Reports
 
 
 
 
 
Universidad Complutense de Madrid
Predoc Researcher
Mar 2019 – May 2020 Madrid
 
 
 
 
 
Universidad Autónoma de Madrid
Research Assistant
Sep 2017 – Jan 2018 Madrid

Entrepeneur

Experience

 
 
 
 
 
Premium & Premium
Co-founder
May 2021 – Present Madrid
Startup to help non profit organizations to fund their projects.
 
 
 
 
 
Seed Drill Capital
Co-founder
Mar 2020 – Present Madrid
Consulting seed startups to build and grow.
 
 
 
 
 
GG Diggers
CEO
GG Diggers
Jan 2018 – Jan 2021 Madrid

We applied cognitive models and data analysis to enhance e-gamers performance.

We were awarded with the “Best entrepreneur project” at the UAM Emprende 19 Edition and we were incubated at Google for Startups Madrid by Tetuan Valley

Contact