- 🔭 I’m currently working on Data Science (my main occupation) and how Computers are built (hobbie).
- 🌱 I’m currently learning Python data libraries such as: Numpy, Matplotlib, Statsmodels, Seaborn. Also learning about data manipulation tools (Tableau).
- 👯 I’m looking to collaborate on huge data projects, particullary the ones beggining from scratch so I'll be able fully experience the analysis tools.
- 💬 Ask me about what I'd like to learn, books that I've read, and Linux! (Arch BTW) 🙃
- 📫 How to reach me: [email protected].
- ⚡ Fun fact: Things that challenge me, although being very stressful, are the main reason why I program there's no motivation to program in order to solve already solved problems but using a different perspective, unless an incredible perfomance gain is obtained. That's why a love data! Even if a database has been treated and cleaned there's still misteries to be solved and it's almost impossible to obtain equal insights from one database to another. Also, never try to convince that something "just works" it's extremely important for me to understand how things are made from scratch, otherwise I feel like there's a hole in my mind.
- 🗺️ Idioms: Portugues(Native), Spanish(intermediate), English(Fluent), Deustch(Beginner).
- 🧑🔬 Programming Languages: Python (Advanced / Intermediate), C, C++, Java and SQL ( Intermediate). I also have basic knowledge of Verilog, R, HTML, and CSS.
🏠
Working from home
Just a normal CS guy trying to find ways to practice my passion over data in projects that I think are interesting.
- Recife, PE
- clessonr.github.io
Highlights
- Pro
Pinned Loading
-
-
RaccoonTestCase
RaccoonTestCase PublicA repo with the aim of showcase my data analysis with Python/SQL/Sheets;
Python
-
-
IBMCoursera
IBMCoursera PublicA repo to add all my projects from IBM Data Science Professional Certificate
Jupyter Notebook
-
SQL_Project
SQL_Project PublicIn order to exercise my new SQL skills I've created this project to do some data exploration.
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.