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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

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soutogustavo/README.md

Hey 👋 I'm Gustavo

Senior Data Scientist based in Berlin with 9+ years building and shipping ML systems that run in production, not just notebooks. I specialize in time-series forecasting, anomaly detection, and end-to-end MLOps applied to industrial IoT and telematics domains. Recently expanded into agentic AI, designing multi-agent pipelines with LangGraph and A2A frameworks.

📍 Berlin, Germany 📧 Email: ghsouto@gmail.com 🔗 LinkedIn: soutogustavods

🔧 Tech Stack

Area Tools
Machine Learning Scikit-Learn, LightGBM, XGBoost, PyTorch, Isolation Forest, HMMs
LLM & Agentic AI LangGraph, LangChain, A2A, Crawl4AI, LangSmith, MCP
MLOps & Production MLflow, Docker, FastAPI, CI/CD (GitHub Actions), Model Monitoring
Data Engineering PySpark, Databricks, Apache Spark
Cloud AWS (SageMaker, S3, Lambda, Athena)
Visualization Streamlit, Plotly/Dash
Languages Python, SQL

🎓 Education

  • PhD Candidate (ABD), Computer Science — TU Dortmund / Fraunhofer ISST. Research on anomaly detection in spatial time-series data. 3+ peer-reviewed publications.
  • M.Sc., Electrical and Computer Engineering — Federal University of Rio Grande do Norte (UFRN)
  • B.Tech., Computer Networking and Telecommunications — Universidade Estácio de Sá (FATERN)

📫 Open to

Senior Data Scientist and ML/MLOps Engineer roles (full-time or contract) in industrial, energy, or IoT domains. EU work authorization. Available immediately.

Pinned Loading

  1. cc-fraud-detection cc-fraud-detection Public

    Evaluate a transactional dataset and build a Machine Learning model to detect frauds.

    Jupyter Notebook

  2. mlflow-infra mlflow-infra Public

    MLflow tracking server with PostgreSQL and MinIO, designed for DS/MLE teams

    Python

  3. spark-license-forecasting spark-license-forecasting Public

    Forecasting monthly liquor (new) license issuance in Chicago using PySpark and Databricks.

    Jupyter Notebook

  4. spark-sql-retail-analysis spark-sql-retail-analysis Public

    Exploratory data analysis on the UK Online Retail dataset using Databricks and SQL.

    Jupyter Notebook

  5. rossmann-forecasting-benchmark rossmann-forecasting-benchmark Public

    [WIP] End-to-end retail forecasting pipeline using a hybrid Clustering + Prophet architecture. Features automated model versioning via MLflow and store-level factor tuning to optimize local demand …

    Jupyter Notebook

  6. review-radar review-radar Public

    [WIP] An AI-powered pipeline that scrapes Google Maps reviews, identifies recurring negative themes, and generates specific operational recommendations for small business owners.

    Python