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edineisantos/README.md

Edinei Santos

About

Data professional with an Economics degree and over 7 years of experience in the energy market. I have 6 years of experience as Data Analyst, 1 year as Business Analyst and 6 months as a Data Product Manager. My specialization includes data analysis, process automation, and API product management, enhanced by certifications in Data Science, Data Engineering, MLOps, and Data Products Management.

Technologies and Tools

I have hands-on experience with the following technologies and tools:

  • SQL
  • Python
  • FastAPI
  • Jupyter Notebook
  • Machine Learning
  • AWS Athena
  • Cloud Computing
  • Power BI
  • Docker
  • Google App Engine
  • GitHub Actions
  • TensorFlow
  • PyTorch
  • R

I have basic knowledge of the following technologies and tools:

  • C++
  • JavaScript
  • Java
  • Spark
  • Sagemaker
  • H20
  • Weights & Biases
  • MLFlow
  • DVC
  • DBT

I am committed to continuously exploring and learning new tools and technologies in the rapidly evolving field of Data Science, Machine Learning and Artificial Intelligence.

Popular repositories Loading

  1. edineisantos edineisantos Public

  2. Predict_Customer_Churn_with_Clean_Code Predict_Customer_Churn_with_Clean_Code Public

    This portfolio project contains a Python package designed to predict customer churn in the credit card industry. As a showcase of both coding and data science expertise, the package is built follow…

    Jupyter Notebook

  3. Image_Classifier_with_TensorFlow Image_Classifier_with_TensorFlow Public

    Image Classifier project implemented using TensorFlow, running with GPU access in a Docker container.

    HTML

  4. Build_ML_Pipeline_for_Short_Term_Rental_Prices Build_ML_Pipeline_for_Short_Term_Rental_Prices Public

    Forked from udacity/build-ml-pipeline-for-short-term-rental-prices

    An end-to-end solution for property management firms. This pipeline integrates weekly rental data to provide price estimations based on current market trends, aiding in competitive pricing decisions.

    Jupyter Notebook

  5. Deploying_ML_Model_with_FastAPI Deploying_ML_Model_with_FastAPI Public

    This project demonstrates the deployment of a machine learning model as a RESTful API using FastAPI. The model, trained on census income data, is containerized with Docker and deployed on Google Cl…

    Jupyter Notebook

  6. Dynamic_Risk_Assessment_System Dynamic_Risk_Assessment_System Public

    Dynamic Risk Assessment System: A simplified portfolio project showcasing data ingestion, model deployment, monitoring, and reporting in a machine learning pipeline.

    Python