- 📚 I'm currently learning about German, French, Machine Learning... 💬
- 🎯 2023 Goals: Learn German(B1), French(A1), and improve my current Machine Learning knowledge... 💬
- ⭐ Hobbies: Watch scientific channels on Youtube, Gaming, listen to music, meditate... 💬
- 📄 Learn more about my experiences: CV.
- Google Data Analytics Professional Certificate In this Project, I carried out a Case Study that allowed me to work with the entire Data Analysis process, using Technologies to deal with datasets and to develop my presentation and final report. These technologies were Python, R Programming, Tableau, Sheets, SQL, and LaTeX. Moreover, I presented my solutions and ideas to solve the problem using illustrations, graphs, and good references to support my conclusions.
- R for Data Science (2e) - 22-2E_topicos_Especiais_em_IA_II_Sistemas_Inteligentes In this course, offered by my Computer Science bachelor's degree @ UENF, I worked Analyzing Data in R and developing presentations, visualization, models, and improving my communication and programming skills, and more.
- Contextual Chatbot in PyTorch In this Project, I worked on an already-created Python Code for a Contextual Chatbot, customizing the original code to answer questions in Portuguese using personal data. I used technologies and libraries such as Python, Anaconda, Numpy, Pandas, Pytorch, Natural Language Processing (Bag of Words), LaTex, and more.
- Heuristics and Optimization This work was developed during a course offered by my university. Here I worked with well-known heuristic problems, the goals were to understand them and practice coding. Problems that I worked with: Longest Path Problem/Critical Path, Knapsack Problem, Vertex Cover Problem, Hamiltonian Cicle/Traveling Salesman Problem, Graph Coloring/Vertex Coloring and Self Organizing Map. Technologies: Python.
- Python for Natural Language Processing Here I worked with the core concepts and technologies to work with NLP. Technologies and libraries used: Python, Machine Learning, NLTK, spaCy, Jupyter and more.
- Machine Learning In this online course offered on Coursera I worked with Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms using MATLAB and Octave.
- Machine Learning For Absolute Beginners Here I practiced the concepts learned in the book that I read; data cleaning, data formating, data manipulation and more.
- Kalender Here I developed an usable online Calendar with sqlite3 database. In this project, I created the documentation related to the website using LaTeX, the website was developed using Ruby and it was running locally.
- Happy Here I developed the front and backend for a simple website that localizes a shop on a city map. Programming and technologies: Typescript, CSS, HTML, React and more.
- Full-Stack Web Development with React Specialization An online course that I built a complete website using React and HTML, JavaScript, CSS and more.
- Python Exercises Here I practiced and learned more about Python, from Hello World to functions, Error treatment, Data manipulation, OOP, and more.
- Java OOP Here I practiced and learned all the concepts related to Java Object-oriented programming.
- Matlab - Octave - Scilab Practicing data manipulation, geometry, matrix, mathematics, and more in Matlab, Octave, Scilab.
- Python A Python specialization on Coursera, here I learned and practiced about Python.
- Docker, Git and Linux Here I worked with Docker creating imagens and more, working with Linux and publishing the collaborative work on GitHub.
Overview Stats
💻 My most used programming languages
🔥 Github streak Stats
