Hello welcome to my Data Science portfolio. In this page there's some projects that I have worked. Each project includes a description of the files, tools used, the problem being addressed, and notes for replication. If you have any questions, please feel free to contact me using the information provided on the side. Additionally,if you want to see my other projects they are on the gitlab instance.

Professional Status

I am currently searching for a job in the field and I am open to relocating for work.

Tools that I use in my projects

• Data Collect and Storage: SQL, Postgres, MySQL, SQLite.

• Coding: Python, R, C, Java, Bash.

• Statistics: Multivariate Statistics, Descriptive Statistics, Inferential Statistics, Survival Analysis.

• Development: Git, Github, Gitlab, Linux.

• Machine Learning and Deep Learning: Classification, Regression, Clustering, NLP.

• Data Visualization: Excel, Power BI, Tableau.

Badges

Links:

This project is primarily intended to demonstrate how much can be accomplished with just a few lines of SQLite.

A game that is proposed in https://github.com/NUKnightLab/sql-mysteries to maintain the condition of taking no notes. It's necessary to use some query techniques, mostly done on SQLite

Project using Python for data visualization (Matplotlib and Seaborn) and PostgreSQL for queries, with the objective of determining if the sales category is related to repeat purchases.

This is a repository of my research on the economic impact of sweet potatoes in the region of Presidente Prudente, Brazil. I mainly used R and Excel to transform and calculate the data. Not the final version, just to show what I did with R and Excel.