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  • 16:19 (UTC -03:00)

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galafis/README.md

Gabriel Demetrios Lafis


Portugues

Sobre

Formado em Ciencia de Dados, baseado no Brasil. Trabalho com analise de dados, machine learning e engenharia de dados, com foco em aplicacoes para mercados financeiros e trading quantitativo.

Areas de Atuacao

graph TD
    A[Gabriel Demetrios Lafis] --> B[Trading Quantitativo]
    A --> C[Machine Learning]
    A --> D[Engenharia de Dados]
    A --> E[Desenvolvimento Web]

    B --> B1[Backtesting de Estrategias]
    B --> B2[Modelos de Volatilidade]
    B --> B3[Gestao de Risco]

    C --> C1[NLP e Sentiment Analysis]
    C --> C2[Series Temporais]
    C --> C3[Computer Vision]

    D --> D1[Pipelines ETL]
    D --> D2[Data Quality]
    D --> D3[Feature Stores]

    E --> E1[APIs REST e FastAPI]
    E --> E2[Microsservicos]
    E --> E3[React e Dashboards]

    style A fill:#2c3e50,color:#fff
    style B fill:#e74c3c,color:#fff
    style C fill:#3498db,color:#fff
    style D fill:#2ecc71,color:#fff
    style E fill:#9b59b6,color:#fff
Loading

Stack Tecnologica

Categoria Tecnologias
Linguagens Python, SQL, R, JavaScript, TypeScript, Rust, Java, Go, Scala, Julia
Data & ML pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Spark, dbt, Airflow, MLflow
Web & Infra FastAPI, React, Node.js, Docker, Kubernetes, Terraform, PostgreSQL, Redis
Cloud AWS, GCP, Azure
Visualizacao Matplotlib, Seaborn, Plotly, Tableau, Power BI

Contato


English

About

Data Science graduate based in Brazil. I work with data analysis, machine learning, and data engineering, focusing on financial markets and quantitative trading applications.

Areas of Expertise

graph TD
    A[Gabriel Demetrios Lafis] --> B[Quantitative Trading]
    A --> C[Machine Learning]
    A --> D[Data Engineering]
    A --> E[Web Development]

    B --> B1[Strategy Backtesting]
    B --> B2[Volatility Models]
    B --> B3[Risk Management]

    C --> C1[NLP and Sentiment Analysis]
    C --> C2[Time Series]
    C --> C3[Computer Vision]

    D --> D1[ETL Pipelines]
    D --> D2[Data Quality]
    D --> D3[Feature Stores]

    E --> E1[REST APIs and FastAPI]
    E --> E2[Microservices]
    E --> E3[React and Dashboards]

    style A fill:#2c3e50,color:#fff
    style B fill:#e74c3c,color:#fff
    style C fill:#3498db,color:#fff
    style D fill:#2ecc71,color:#fff
    style E fill:#9b59b6,color:#fff
Loading

Tech Stack

Category Technologies
Languages Python, SQL, R, JavaScript, TypeScript, Rust, Java, Go, Scala, Julia
Data & ML pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Spark, dbt, Airflow, MLflow
Web & Infra FastAPI, React, Node.js, Docker, Kubernetes, Terraform, PostgreSQL, Redis
Cloud AWS, GCP, Azure
Visualization Matplotlib, Seaborn, Plotly, Tableau, Power BI

Contact

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    AI-powered fraud detection system for financial transactions. Uses ensemble models, anomaly detection, and real-time scoring to identify fraudulent patterns.

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    🚀 Comprehensive toolkit for data scientists with Python utilities, ML algorithms, visualization tools, and best practices. Perfect for beginners and professionals!

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    Real-time analytics platform for high-frequency trading data. Processes tick-level data with ultra-low latency for market microstructure insights and trading performance analysis.

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