Skip to content
View palomacdev's full-sized avatar

Highlights

  • Pro

Block or report palomacdev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
palomacdev/README.md

👋 Hi, I'm Paloma Cordeiro

📊 Data & Analytics professional with 3+ years of experience
🎯 Focused on extracting insights from data and building intelligent, data-driven solutions.

⚠️ Note: This is my primary account, for lab/secondary account with experimental projects and prototypes. Please visit @palomahub-arch.


🚀 About Me

I'm a data professional passionate about transforming raw data into actionable insights. With a strong foundation in Business Intelligence and Data Engineering, I'm now expanding my expertise into Machine Learning and advanced analytics to solve complex business problems through data science.

Current Focus:

  • 🤖 Machine Learning model development and deployment
  • 📈 Advanced statistical analysis and predictive modeling
  • 🔄 End-to-end ML pipelines and MLOps practices
  • 🧪 Experimenting with deep learning frameworks

🛠️ Tech Stack

🧠 Data Science & Machine Learning

Python Pandas NumPy Scikit-learn TensorFlow PyTorch XGBoost Random Forest SciPy


📊 Data Visualization & BI

Matplotlib Seaborn Plotly Power BI Tableau


🗄️ Data Engineering & Databases

SQL Server PostgreSQL MySQL MongoDB Apache Spark Apache Airflow


☁️ Cloud & MLOps

Docker Kubernetes GitHub Actions Terraform AWS


🧰 Development Tools

Jupyter VS Code Git Linux


📈 What I'm Currently Working On

  • 🔬 Building machine learning models for classification, regression, and clustering problems
  • 📊 Developing interactive dashboards and data visualizations for business stakeholders
  • 🚀 Implementing MLOps pipelines for model deployment and monitoring
  • 📚 Deepening knowledge in deep learning, NLP, and computer vision
  • 🌐 Contributing to open-source data science projects

💼 Professional Highlights

  • 3+ years of experience in data analytics and business intelligence
  • Expertise in data pipeline development and ETL processes
  • Strong background in SQL, Python, and statistical analysis
  • Proven track record of translating complex data into actionable business insights

📫 Let's Connect


⭐️ Open to collaborations on data science projects and always eager to learn new technologies!

Pinned Loading

  1. meu-acervo meu-acervo Public

    JavaScript

  2. movie-profitability-analysis movie-profitability-analysis Public

    Análise de dados com Python para descobrir os fatores de sucesso financeiro em filmes, investigando a relação entre orçamento, receita, gênero, diretores e elenco principal.

    Jupyter Notebook

  3. olympic-analysis-ml olympic-analysis-ml Public

    Análise de dados e modelo de Machine Learning (Random Forest) para prever medalhas olímpicas e identificar os principais fatores de sucesso dos atletas.

    Jupyter Notebook

  4. previsao-churn-clientes-ml previsao-churn-clientes-ml Public

    Jupyter Notebook

  5. Projeto_ETL_Ecommerce_Data_Engineer Projeto_ETL_Ecommerce_Data_Engineer Public

    Pipeline ETL em Python/Pandas para consolidar dados de vendas, produtos e clientes em um Data Mart otimizado (formato Parquet). Demonstração de limpeza, padronização e feature engineering.

    Jupyter Notebook

  6. youtube-trending-brazil-analysis youtube-trending-brazil-analysis Public

    Análise Exploratória de Dados (EDA) dos vídeos em alta do YouTube Brasil. Foco na visualização de tendências e categorias usando Python e Seaborn.

    Jupyter Notebook