A project close to 🏡 home. Analysis of educational data from my home state using data from the institute responsible for promoting studies, research and periodic evaluations on the Brazilian educational system - Which city has the most number os schools, How many students there are per school, How much does each city invest in its students?

Analysis using NLP techniques to interpret text data that I was working with in my PhD and to learn some techniques I was going to use in other context. The text used to perform this analysis was a transcript of a chemistry class for undergraduation students.

Documentation of a SQL course I took. Most courses, if not all, focus too much on “telling” or “demonstrating” how to do things, but don’t give the student the opportunity to test and practice what is being taught. In this course, every lesson has a coding task to practice what I was learning. You will notice that some of the queries are a little off topic because I was exploring learning possibilities within the lesson.

I've analyzed this dataset which is the historical sales of a supermarket company in Myanmar which has recorded data from 3 different branches for 3 months data. I've draw conclusions in which I believe there are meaningful opportunities in Naypyitaw (Branch B) to increase revenue.

More than 250 videoclasses where it's covered practically the entire core of the language. From the first 'Hello World', to Object Orientation, Collections, Database Connection, Exception Handling, Threads, Functional Programming and much more. 011/286