Hello! My name is Lucas Haniel Gomes e Gomes. I have a degree in Physics Education from UEPA (2022) and I am currently pursuing a degree in Data Science at UniAmérica. Additionally, I am passionate about data analysis (BI, social, economic, and public security).
This project performs an Exploratory Data Analysis applied to a financial dataset. The goal is to identify patterns, relationships, and insights that can assist in decision-making in financial contexts such as risk management, fraud detection, and financial behavior prediction.
- Assess potential issues in the dataset.
- Evaluate financial flows to identify patterns in payments and receipts and assess the company's financial stability.
- Identify geographic patterns in customer and supplier behavior to optimize market strategies.
- Analyze the temporal behavior of transactions to detect seasonality and trends.
- Build a Power BI dashboard for data visualization based on these themes.
- Python: Pandas, Numpy, Matplotlib, Seaborn.
- Jupyter Notebook.
- Power BI for advanced visualization.
- Git and GitHub for version control.
Click here to access the project.
The "EDA Utilis" project is a reusable and scalable Python module designed to simplify the Exploratory Data Analysis (EDA) process across various domains. This toolkit facilitates tasks such as data loading, cleaning, visualization, and statistical analysis, making the initial phases of any data science project more efficient and structured.
- Data loading and preprocessing.
- Generation of descriptive statistics.
- Graphical visualizations for pattern and outlier identification.
- Handling of missing values and inconsistent data.
- Python: Pandas, Numpy, Matplotlib, Seaborn.
- Jupyter Notebook.
- Git and GitHub for version control.
Click here to access the project.
I'm currently delving deeper into machine learning, Docker, and building on other skills I already have.