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Name: Diego de Mattos

Type: User

Bio: Guitarist, data scientist, physics USP, data science MBA USP, former teacher ETEC, completionist gamer, nerd/geek universe.

Hi there 👋, I'm Diego de Mattos

Welcome to My GitHub Profile!

💾 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.

🎓 Academic Background

MBA in Data Science and Analytics from the University of São Paulo (2023 - 2024)
Bachelor's Degree in Physics from the University of São Paulo (2012 - 2017)
Extension Courses at the University of São 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)

💼 Professional Training

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

🛠 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.

📚 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)

📫 You Can Reach Me

LinkedIn: Diego de Mattos
Email: [email protected]

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.

Diego de Mattos's Projects

avengers-sentimental-analysis-ml-python

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

bitcoin_historical-eda-ml-python

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 analysts, and cryptocurrency enthusiasts.

carbon-emission-eda-ml-python

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

coursera-data-science-challenge-churn-prediction

In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model.

covid-data-analysis-python

Analyzing data related to Covid-19 in Brazil using Python.

datasus-eda-python

A collection of Python notebooks and scripts dedicated to Exploratory Data Analysis (EDA) of healthcare data from DataSUS

dengue-eda-ml-python

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

diegomattos1408

My personal repository.

ev-us-eda

exoplanets-eda-ml-python

In this project, we conducted an analysis of a dataset containing celestial body characteristics to predict planet statuses using a Random Forest classifier

html-css-js-basics-project

A simple html responsive page demostrating the bank's operations using javascript.

ibm-data-science-capstone-project

Final Project From The Professional Certification IBM Data Science

machine-learning-r

Repository of machine learning models using the R language for exercises aligned with the curriculum of the postgraduate program in Data Science.

netflix-titles-eda-python

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.

online_retail_customer_churn-eda-ml-python

This project illustrates the power of machine learning in leveraging retail data to predict customer churn, offering valuable insights that can help in designing effective customer retention strategies.

pokedex-data-analysis-python

I created an interactive pokedex through code with python using data wragling and webscraping.

python-basics-projects

During my studies in Introduction to Computer Science I had three challenges to build a program using the techniques that the files are named after.

sql-queries

Some exercises using the SQL language

weather-eda-ml-python

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 data analysis using Python, bolstered by powerful machine learning techniques.