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edineisantos/README.md

Edinei Santos

About

Data Scientist with over 8 years of experience in data, process automation, and data product management. I have worked as a Data Analyst and Data Product Manager in the energy sector and currently serve as a Data Scientist at a B2B e-commerce company. Graduated in Economics, I hold certifications in Data Science, MLOps, Generative AI, and Data Product Management, combining technical expertise in data with business knowledge.

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
  • Docker
  • Google App Engine
  • GitHub Actions
  • TensorFlow
  • PyTorch

I have basic knowledge of the following technologies and tools:

  • C++
  • R
  • JavaScript
  • Java
  • PySpark
  • Sagemaker
  • H20
  • Weights & Biases
  • MLFlow
  • DVC
  • DBT
  • LangChain
  • CrewAI
  • BigQuery
  • Power BI
  • Locker

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