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diegomattos1408/README.md

capa

Hi there ๐Ÿ‘‹, I'm Diego de Mattos

Welcome to My GitHub Profile!

๐Ÿ’พ Repositories

  • Avengers Sentimental Analysis
    • Libraries: TextBlob, VADER, and RoBERTa.
  • Bitcoin EDA ML
    • Machine Learning: Neural Network: Long short-term memory
    • Libraries: Pandas, Yfinance, Matplotlib, Scikit-learn, Numpy, Tensor-Flow
    • Dashboard: BI
  • Carbon Emission EDA ML
    • Machine Learning: Linear Regression, Random Forest, and GBM models.
    • Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn.
  • Dengue EDA ML
    • Statistical Models: Poisson and Negative Binomial.
    • Libraries: Pandas, Numpy, Matplotlib, Statsmodels, Scipy.
  • DataSUS EDA Dashboard
    • Libraries: Pandas, Numpy, Matplotlib, Dash, GeoPandas, Pyspark, SQLite3
    • Dashboards: Dash and BI
  • Exoplanets EDA ML
    • Machine Learning: Random Forest.
    • Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn.
  • Netflix EDA
    • Libraries: Pandas, Matplotlib, Seaborn, Scikit-learn, TextBlob.
  • Python
    • Python Basics and OOP.
  • SQL
    • SQL Queries
  • Weather EDA ML
    • Machine Learning: Linear Regression (Box-Cox, Stepwise), PCA, Logistic Regression, Random Forest, XGBoost, Neural Network, K-fold.
    • Libraries: Pandas, Matplotlib, Seaborn, Factor_analyzer, Pingouin, Statsmodels, Scikit-learn, Scipy, Tensor-Flow.

๐ŸŽ“ Academic Background

  • MBA in Data Science and Analytics from the University of Sรฃo Paulo (2023 - 2024)
  • Bachelor's Degree in Physics from the University of Sรฃo Paulo (2012 - 2017)
  • Extension Courses at the University of Sรฃo Paulo:
    • Introduction to Computer Science with Python (Parts 1 & 2) (2021)
    • Big Data (2021)
    • Introduction to Machine Learning with Python (2023)
    • Fundamentals of Statistics, Introduction to R Software, and Machine Learning (2023)

๐Ÿ’ผ Professional Training

  • Google Data Analytics (2022)
  • Preparing for Google Cloud Certification: Machine Learning Engineer (2023)
  • IBM Data Science (2023)

๐Ÿ›  Skills & Expertise

  • Programming Languages: Python, R, SQL, JavaScript, HTML, CSS;
  • Libraries: Pandas, Numpy, Matplotlib, Seaborn, Dash Sklearn, Scipy, Statsmodel, TensorFlow
  • Big Data: ETL/ELT Pipeline, MySQL, MongoDB, Apache Airflow;
  • Data Science: Data Analysis, Data Mining, Data Cleaning, Data Wrangling, Data Viz: Tableau, Power BI;
  • Machine Learning: Linear Regression, PCA, Factor Analysis, Clustering, Trees, Networks, Ensemble Models, Neural Networks, Text Mining, Sentiment Analysis, and NLP;
  • Extra: Fluent English, Excel, Scrum, Analytics, and Risk Management.

๐Ÿ“š Courses

Alura

  • Beginning Programming Career & Education (2019)
  • Front-end Formation and JavaScript Developer Career (2019)
  • First Steps with Data Engineering (2024)
  • First Steps with SQL (2024)
  • Data Science (2024)

๐Ÿ“ซ You Can Reach Me

capa


Thank you for visiting my profile! I'm passionate about unlocking the potential of data to solve complex problems and drive innovation. Feel free to reach out if you're interested in collaborating on projects or sharing insights.

Pinned

  1. Avengers-Sentimental-Analysis-ML-Python Avengers-Sentimental-Analysis-ML-Python Public

    Sentiment Analysis of the Avengers: Endgame movie script in Python using TextBlob, VADER, and RoBERTa libraries.

    Jupyter Notebook

  2. Weather-EDA-ML-Python Weather-EDA-ML-Python Public

    This GitHub repository is a comprehensive and interactive platform for weather enthusiasts, data scientists, and machine learning practitioners alike. It provides a detailed exploration of weather โ€ฆ

    Jupyter Notebook

  3. Carbon-Emission-EDA-ML-Python Carbon-Emission-EDA-ML-Python Public

    Predicting Carbon Emissions with ML: Analyzing lifestyle impacts on carbon footprints using Linear Regression, Random Forest, and GBM models to identify reduction strategies.

    Jupyter Notebook

  4. Netflix-Titles-EDA-Python Netflix-Titles-EDA-Python Public

    This work embarked on a comprehensive exploratory data analysis (EDA) of a Netflix titles dataset, aiming to uncover insights and patterns within Netflix's vast content catalog.

    Jupyter Notebook

  5. Dengue-EDA-ML-Python Dengue-EDA-ML-Python Public

    Analyzing Dengue data (dataSus) using Poisson & Negative Binomial models in Python for disease prediction.

    Jupyter Notebook

  6. Bitcoin_historical-EDA-ML-Python Bitcoin_historical-EDA-ML-Python Public

    This project leverages Long Short-Term Memory (LSTM) neural networks to predict Bitcoin prices. By applying deep learning techniques, we aim to provide valuable insights for investors, financial anโ€ฆ

    Jupyter Notebook