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Portrait of Juan Pablo Hagata

Juan Pablo Hagata

Data Scientist · Data Engineer · MLOps

I build machine learning models and the data pipelines that take them to production, on a solid electronic-engineering foundation.

About

I'm a data scientist and electronic engineer, with a postgraduate specialization in artificial intelligence. My work combines data analysis, statistical modeling and software development.

I develop machine learning and deep learning models to optimize processes and support decision-making, and I handle the full flow, from preparing the data to the model in production. I work independently and within cross-disciplinary teams, turning business problems into technical solutions.

I approach problems with an engineering mindset: I structure what's complex, base decisions on data, and validate each step before taking it as final. I write clear, maintainable code, and I would rather deliver reliable results than rushed conclusions.

I work fluently in Spanish and English, have an intermediate level of French, and I'm studying Japanese. My experience spans different fields of engineering and development, which gives me a broad perspective when tackling new problems. I want to join teams where technical rigor and quality come first.

Experience

  1. Data Scientist

    2024 — Present

    Analytics Solvers

    I apply survival analysis (Kaplan-Meier), deep learning, clustering and regression to historical operational data to optimize repair and production decisions across oil wells. I build and maintain the data pipelines that feed the models, from cleaning and transformation to feature engineering, and I track the model lifecycle with MLflow and CI/CD. I built a TensorFlow model that predicts a well's production from water-injection patterns across a network of thousands of wells, and exposed the results to the engineering teams through an LLM-powered chatbot so they can query them in plain language.

  2. Setup and Administration of Linux Servers

    2021 — Present

    AferIT

    I install, configure and maintain Linux servers across several distributions, manage cloud applications on GCP and AWS, and automate recurring operations with shell scripts and Docker. On top of that infrastructure I develop the company's generative AI and document-intelligence projects. I built a multilingual ingestion service that extracts structured data from PDF, scanned documents and HTML using pdfplumber, PyMuPDF and Tesseract OCR, with a validation step that catches recognition errors before the data is used. I also built a system that translates incoming ship messages, stores them, and shows each operator the related past messages through a RAG approach over the message history.

  3. Research, Development and Innovation

    2021 — 2024

    National Space Activities Commission (CONAE)

    At Argentina's National Space Activities Commission I processed large volumes of radar data and built data-visualization interfaces and automated test suites for antenna and radar measurement campaigns. I wrote low-level processing routines and result-validation procedures in Python, SQL and C++, within a multidisciplinary engineering team and with frequent travel to facilities in another city. I gained hands-on experience with radar systems and phased-array antennas, which connected directly to my graduate thesis research.

  4. Full-Stack Web Developer

    2016 — 2021

    AferIT

    I built web applications and REST APIs with JavaScript, TypeScript, Node.js and PostgreSQL, and worked with MongoDB and React across several projects, applying object-oriented design and Git-based collaboration. I took part in the full development cycle, from requirements gathering to deployment, following agile methodologies. This role gave me a solid foundation in software engineering that I still apply when working with large volumes of data.

  5. Teaching Assistant in Applied Mathematics

    2015 — 2017

    Faculty of Engineering, University of Buenos Aires

    I led weekly practical sessions for engineering students on Fourier and Laplace transforms, partial differential equations, complex variables and improper integrals. I taught students how to solve the problems from the exercise set through step-by-step analytical reasoning rather than formula memorization. Working directly with students on problem-solving sharpened my ability to explain technical material clearly and adapt to different learning styles.

Education

Postgraduate Specialization in AI

University of Buenos Aires

2025

Electronic Engineering

University of Buenos Aires

2022

Radar Systems Design

National University of Tucumán

2021

Advanced Antenna-Array Design

National University of Tucumán

2021

Mobile Networks and Internet of Things

IMT Atlantique

2018

Technologies

  • Python
  • Statistics
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Computer Vision
  • Signal Processing
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Pandas
  • PySpark
  • Databricks
  • Jupyter
  • MLflow
  • Linux
  • Shell Scripting
  • Git
  • Docker
  • GCP
  • AWS
  • Azure
  • ETL/ELT
  • Airflow
  • TypeScript
  • React
  • Node.js
  • REST APIs
  • PostgreSQL
  • MongoDB

Languages

Spanish Native
English Bilingual (C2)
French Intermediate (B1)
Japanese Beginner (N4)