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jorgesandoval/README.md

Hello there! 👋

Welcome to my repo. I'm a seasoned Data Scientist and Machine Learning Engineer with a rich background in database administration and technology consultancy. Passionate about applying my knowledge in real-world scenarios, I've diversified my expertise from being a Relational Database Administrator to delving deep into the realm of Data Science.

Projects

Machine Learning

Deep Learning

Technical Articles

  1. Data Modeling Tools: Choosing the Best for Your Needs
  2. Top 15 Database Modeling Tips for 2021
  3. The Best ER Diagram Tools in 2021
  4. What is Data Warehouse?
  5. What's the Best ER Diagram Tool for Windows?
  6. How to Automatically Generate Primary Key Values Using Vertabelo’s Auto-Generation Features
  7. Using Text Notes in Data Modeling
  8. What Is the Best Design for an Address Database Model?
  9. The Ten Best Database Diagram Tools for SQL Server
  10. A Complete Guide to Database Diagram Symbols
  11. What Is a DDL Script? How Do You Use It?
  12. The Best Database Software for Mac
  13. Top 10 Database Design Tools for Mac
  14. Understanding Entity-Relationship Diagrams (ERDs) and Their Applications in Database Design
  15. Entity-Relationship Diagram Tools – What They Are and How to Choose the Best One for Your Project
  16. What Is a Schema Diagram? A Guide with 10 Examples
  17. Data Model for a Hotel Management System

🎓 Education

  • Master's in Applied Computing (Artificial Intelligence) from University of Vale do Itajaí (UNIVALI).
  • B.Sc. in Computer Science University of Vale do Itajaí (UNIVALI).

💼 Professional Experience

  • Data Scientist: Transitioned to the field of Data Science in 2017, leveraging my expertise from database administration to data-driven decision making.
  • Relational Database Administrator (2002-2017): Managed databases such as Oracle, DB2, SQL Server, PostgreSQL, and MySQL.
  • Former Deputy Secretary of Science, Technology, and Innovation in Santa Catarina.
  • University Professor: Imparted knowledge and mentored the next generation.
  • Technology Consultant: Offered strategic tech consultations for the Government of Santa Catarina.
  • Researcher: Explored and studied cutting-edge technologies to drive innovation.

🌟 Core Competencies

  • Communication & Teamwork: Effectively conveyed complex information and collaborated with cross-functional teams.
  • Leadership: Spearheaded multiple projects, guiding teams to success.
  • Problem-Solving & Critical Thinking: Approached challenges with a logical and result-oriented mindset.
  • Time Management & Emotional Intelligence: Efficiently managed tasks, while maintaining interpersonal relationships and understanding team dynamics.

💻 Technologies:

Python Jupyter Notebook Docker Oracle SQL Server PostgreSQL MySQL

🌐 Let's Connect!

Feel free to reach out if you'd like to collaborate or just have a chat. Always excited to discuss new ideas, projects, or even the latest tech trends.

Linkedin

Popular repositories Loading

  1. heartbeat-classification-cnn heartbeat-classification-cnn Public

    An advanced ECG anomaly detection system using deep learning. This repository contains a CNN autoencoder trained on the PTBDB dataset to identify abnormal heart rhythms. It employs various loss fun…

    Jupyter Notebook 5

  2. sp500-forecasting-xgboost sp500-forecasting-xgboost Public

    Time series forecasting of the S&P 500 Index using XGBoost for forecasting. With an R-squared of 0.97, it effectively captures market dynamics, offering insights into future index movements

    Jupyter Notebook 2

  3. iotthreat-classification-ensemble iotthreat-classification-ensemble Public

    Jupyter notebook for IoT threat detection using ensemble machine learning. Features data preprocessing, model training (Logistic Regression, Decision Trees, Neural Networks, etc.), and ensemble tec…

    Jupyter Notebook 1 2

  4. jorgesandoval jorgesandoval Public

  5. hydropower-regression-knn hydropower-regression-knn Public

    Jupyter notebook analyzing historical hydropower consumption data. Uses K-Nearest Neighbors regression to predict 2019 consumption. Includes preprocessing, model training, and performance evaluation.

    Jupyter Notebook 1