Marcos Feole
Marcos Feole

Data Scientist · Statistician · Physicist

Marcos Feole

I build statistical, machine learning, and generative AI systems that turn messy data into better decisions.

  • Buenos Aires, Argentina
  • MS Statistics, UIUC (Fulbright)
  • MS Physics, Balseiro Institute
mmfeole at gmail dot com LinkedIn Google Scholar Newsletter
8+years in data science
7industries: health, policy, development, complexity and ergodicity economics, finance, CX, media, research
3graduate & undergraduate degrees
3languages: Spanish, English, German
01

About

I'm a data scientist with 8+ years of experience turning data into models and knowledge for better decision-making. I combine mathematical, statistical, and computational modeling with hands-on engineering, and I care about shipping tools that work in production.

My recent work centers on generative AI: LLMs, retrieval-augmented generation (RAG), agents, and chatbots that automate internal processes, uncover inefficiencies, and put software to the test. My path is diverse by design: at every crossroads I chose the project that interested me most, and the common thread has always been data, machine learning, and AI.

Beyond work, I meditate, play guitar, read widely, and write essays in my newsletter, Navegarte.

These are some of the specific areas and skills that I've worked on in the past:

Generative AI

LLMs, RAG, agents, and chatbots for process automation and QA.

Economics research

ML with Complexity Economics (Hidalgo & Hausmann) and Ergodicity Economics (Peters & Adamou).

AI safety & policy

Protocols and recommendations for public-sector clients.

Customer analytics

Multilingual NLP for predictive analytics and customer understanding.

Computational finance

Market microstructure modeling, efficient tick-size performance prediction, and statistical modeling of trading data.

Data engineering

ETL pipelines and OLAP for a microservices video-on-demand platform.

02

Experience

● industry   ○ academia
  1. May 2025 – Jan 2026

    Data Scientist

    Quantit, Buenos Aires · contractor at Medifé (health insurance)

    Built applications that detect problems and redundancies in internal processes and make them more efficient, using LLMs, RAG, and other methods.

  2. Feb – Mar 2024

    Teaching Assistant

    Torcuato Di Tella University, Buenos Aires

    Managed special projects for a course on Neuroscience and Decision Making.

  3. Mar 2021 – Sep 2024

    Data Scientist / Researcher

    Fundar, Buenos Aires
    • Led data science research and consulting projects for public policy applications.
    • Implemented machine learning and Complexity Economics models for export diversification, among other uses.
    • Researched and developed protocols for the ethics of AI; programmed chatbots and researched RAG with LLMs and vector stores.
    • Wrote reports and communicated results and policy recommendations to public-sector clients.
  4. Jan 2020 – Jan 2021

    Data Scientist

    Medallia, Buenos Aires

    Developed and implemented multi-language NLP deep learning models to classify customer experience reviews, using TensorFlow 1 and 2.

  5. Jul – Aug 2019

    Research Assistant

    London Mathematical Laboratory · ICTP, Trieste, Italy

    Summer school research on financial market stability, applying the ergodicity economics framework to high-frequency trading data, under the daily guidance of Ole Peters and Alex Adamou.

  6. Mar – Aug 2018

    Statistical Modeling Intern

    CME Group · Research Park, Champaign, Illinois, USA

    Developed market microstructure models to study tick size efficiency in CME's foreign currency exchange market data. The results were used for decision-making at CME.

  7. Jun 2015 – Mar 2017

    Software Developer

    ARSAT, Buenos Aires

    Python backend developer in an agile Scrum team. Maintained microservices for the video-on-demand platform play.cine.ar, and developed ETL methods and an OLAP data platform using Python cubes, PostgreSQL, and MongoDB.

  8. Jul 2013 – Dec 2014

    Research Assistant

    CNEA National Atomic Energy Commission, Bariloche

    Research toward my MS thesis in Physics: theoretical and computational work on atomic and molecular quantum physics models.

  9. 2011 & 2014

    Teaching Assistant

    Balseiro Institute · University of Buenos Aires

    Problem-solving classes for graduate Quantum Mechanics I (Balseiro, Jul–Dec 2014) and Electromagnetism (UBA, Feb–Jul 2011).

03

Publications

Economics

Finance

Physics

04

Education

05

Skills

Programming

  • Python
  • SQL
  • R
  • Mathematica
  • Bash

ML & data libraries

  • Scikit-Learn
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas
  • NetworkX

Generative AI

  • LLMs
  • RAG
  • Vector stores
  • Agents
  • Chatbots

Data & tools

  • Spark
  • PostgreSQL
  • MongoDB
  • Git
  • Anaconda

Methods

  • Statistical modeling
  • NLP
  • Deep learning
  • Network science
  • Stochastic processes

Languages & citizenship

Spanish (native)
English (proficient; TOEFL 106/120; GRE Quant 170/170, Verbal 162/170)
German (advanced; Sprachdiplom II)
German and Argentinian citizen

Get in touch

Let's work together

I'm open to new opportunities in data science, machine learning, and applied AI.
Email and LinkedIn are the best ways to reach me.

mmfeole at gmail dot com LinkedIn Navegarte