# Beñat San Sebastian (@benat.eu)

Profile: https://sifa.id/p/benat.eu
Headline: Data Scientist

## About

Experienced Data Scientist and Generative AI enthusiast. I'm a self-motivated learner and I'm always eager to acquire skills in new technologies to face upcoming challenges. Proven expertise in the insurance and banking sectors, with specialized knowledge in behavioral economics and game theory gained during my degree in economics.

I have been intensely involved in rugby as both a player and a coach. I continue to apply everything I have learned in my sporting career to my work: teamwork, strategy, planning and a never-give-up spirit.

## Career

- **Senior Data Scientist at Banco Bilbao Vizcaya Argentaria** (Oct 2024 - Present)
  At AI Factory's GenAI Lab, I explore cutting-edge advancements in LLMs, test new technologies, and share insights to accelerate the implementation of GenAI solutions and foster a deeper understanding across the organization.
- **Lecturer in the Master of Data Science Program at Kschool** (Dec 2019 - Present)
  Current Teaching Focus: Generative AI Workshop: Prompt Engineering, Retrieval-Augmented Generation (RAG) with LangChain, and Agents with LangGraph. Statistics with Python: Covering areas such as Descriptive Statistics, Probability, Inference, and Bayesian Statistics.
  
  Previous Teaching Subjects: Data Analytics with Python: Included modules like Numpy, Pandas, Matplotlib, APIs, and Web Scraping. Statistical Learning with R: Focused on Regression, Classification, Clustering, and Dimensionality Reduction.
- **Data Science Tech Lead at Neoris** (Dec 2023 - Oct 2024)
  Working within BBVA as a GenAI Lab Specialist. My role centers on engaging with the latest LLMs advancements, testing these technologies, and effectively disseminating this knowledge across BBVA to foster widespread understanding and application.
- **Co-Founder at Newral Ai** (Jan 2021 - Jan 2024)
  Data analytics, machine learning and AI consulting services and formation.
- **Data Scientist & Innovation Manager at LLYC** (May 2022 - Dec 2023)
  Creating data analytics tools and models for communications, public affairs, and understanding and tracking conversations in social networks.
  
  Mainly focused on Natural Language Processing, Genarative AI and Graph Analytics.
- **Data Scientist at Bankinter** (Mar 2022 - May 2022)
- **Data Scientist at MAPFRE** (Oct 2019 - Mar 2022)
  Leading several projects end to end collecting, processing and exploring data, modeling and supervising final deployment on topics such as debt collection, fraud detection or cross-selling.
  
  Building tools for machine learning pipelines to assist data preprocessing and enrichment, feature engineering and modeling.
- **Data Science Intern at MAPFRE** (May 2019 - Oct 2019)
- **Innovation Project Manager & R&D Incentives Consultant at Key Solutions** (May 2017 - Mar 2019)
  R&D tax incentive consulting and writing proposals for R&D financing programs (CDTI, AEESD etc.).
  
  I specialised in software development projects and worked for data-driven startups such as Mediasmart and Geoblink.
- **Spanish Assistant & Rugby Coach at Hampton School** (Oct 2013 - Jul 2015)

## Skills

### Technical
- Amazon Web Services (AWS)
- Artificial Intelligence (AI)
- Bash
- Data Science
- Deep Learning
- Generative AI
- Git
- Google Cloud Platform (GCP)
- Large Language Models (LLM)
- Linux
- Machine Learning
- Microsoft Azure
- Microsoft Excel
- Microsoft Office
- Python
- R
- Scala
- SQL
### Business
- Agile Methodologies
- Business Strategy
- Data Visualization
- Management
- Marketing Strategy
- Project Management
### Interpersonal
- English
- Spanish
- Team Leadership
- Teamwork
### Other
- Apache Spark
- Bayesian statistics
- Behavioral Economics
- Game Theory
- Natural Language Processing (NLP)
- Scientific Writing
- Statistics
- Tableau

## Credentials

- AWS Certified Cloud Practitioner — Amazon Web Services (AWS) (May 2024) https://www.credly.com/badges/69eb6601-6a98-4c33-b4de-d3323ec934c1/public_url
- Writing in the Sciences — Coursera (Jan 2024) https://www.coursera.org/account/accomplishments/records/WPFWWH86GWTJ
- Generative AI with Large Language Models — Coursera (Jan 2024) https://www.coursera.org/account/accomplishments/records/FC3XNXW53W9A
- Bayesian Statistics: From Concept to Data Analysis — Coursera (May 2023) https://www.coursera.org/account/accomplishments/records/F7A236K7ZFFU
- Natural Language Processing with PyTorch — Pluralsight (Jul 2022) https://drive.google.com/file/d/1hdNFNjhpVvPcEaDKHqtQQXgXCfJO6omF/view?usp=sharing
- DeepLearning.AI TensorFlow Developer — Coursera (Dec 2021) https://www.coursera.org/account/accomplishments/professional-cert/F4HM86VJTE9E
- Apache Spark with Scala — Udemy (Oct 2021) https://www.udemy.com/certificate/UC-b8ffb92a-5e9e-45b6-978b-81bc99e38e7e/
- Agile with Atlassian Jira — Coursera (May 2021) https://www.coursera.org/account/accomplishments/verify/4DWHWDXD4ANS
- Deep Learning Specialization — Coursera (Oct 2020) https://www.coursera.org/account/accomplishments/specialization/PCRCU24V4YHA
- Data Visualization with Tableau Specialization — Coursera (May 2020) https://www.coursera.org/account/accomplishments/specialization/YGYB3U8CRZYY
- Interactive Python Dashboards with Plotly and Dash — Udemy (Mar 2019) https://www.udemy.com/certificate/UC-INVTP8E2/
- Applied Data Science with Python Specialization — Coursera (Aug 2018) https://www.coursera.org/account/accomplishments/specialization/22NAAMRSMDWY
- Behavioral Finance — Coursera (Jul 2018) https://www.coursera.org/account/accomplishments/verify/E6SD8NDEHJ93
- Game Theory — Coursera (Dec 2017) https://www.coursera.org/account/accomplishments/verify/GEVCEFDY54ME
- Game Theory II: Advanced Applications — Coursera (Dec 2017) https://www.coursera.org/account/accomplishments/verify/FK8H4VPQHTD4

## Education

- **Universidad Nacional de Educación a Distancia - U.N.E.D.** — Master's degree (Oct 2022 - Jul 2025)
- **KSchool** — Postgraduate Program (2018 - 2019)
  Covered topics: Intro to Data Science (Shell, Git, SQL) Data analysis, Machine Learning and Statistics (R, Python) Intro to Big Data (Hadoop, Spark) Visualization and Business Intelligence (Tableau, D3.js)
- **Universidad Nacional de Educación a Distancia - U.N.E.D.** — Bachelor's degree (2012 - 2019)
  The program included relevant courses to data analytics such as econometrics, probability and statistical inference.
  
  End-of-degree project in behavioural economics. I applied experimental economics, game theory and data analytics tools to study cognitive and social factors on the economic decisions.
- **Universidad Politécnica de Madrid** (2003 - 2006)
  Completed the following math relevant courses in aeronautical engineering: general mathematics, algebra, calculus, differential geometry, differential equations, mathematical methods and numerical computation.

## Courses

- Financial Mathematics and its applications to Financial Markets

## Involvement

### Volunteering
- Club de Rugby Complutense Cisneros (Oct 2024 - May 2025)
  U18 Assitant Coach
- Club de Rugby Complutense Cisneros (Aug 2019 - May 2020)
  U23 Head Coach
- Club de Rugby Complutense Cisneros (Oct 2015 - Jul 2019)
  U18 Head Coach

## Languages

- Basque (native)
- Spanish (native)
- English (full professional)
- Portuguese (limited working)