Data Scientist with a background in Economics, currently pursuing a Master’s degree in Artificial Intelligence at the Federal University of Rio Grande do Norte (UFRN).
I have experience in statistical modeling, machine learning, computer vision, web scraping, and transfer learning. On GitHub, I share study projects and academic experiments.
Comparison between ResNet3D-18 and VideoMAE models for violence detection in videos. This project focuses on computer vision applied to security, exploring deep neural networks specialized in video analysis.
- 🧠 Technologies: PyTorch, Transformers, 3D Models
- 🛠️ Approaches: Fine-tuning of pre-trained models, performance evaluation
Repository: https://github.com/lhayana/violence-detection-CV
Flight price prediction using supervised machine learning algorithms. Covers data cleaning, exploratory data analysis, feature engineering, and model comparison.
- 🧮 Algorithms: Ridge Regression, XGBoost, LightGBM, CatBoost
- 📊 Tools: Scikit-learn, Pandas, Matplotlib
Repository: https://github.com/lhayana/flight-price-prediction
Mushroom classification project to determine whether mushrooms are edible or poisonous based on physical characteristics. Includes evaluation of several classification models and performance metrics.
- 🌿 Algorithms: XGBoost, LightGBM, CatBoost, Logistic Regression
Repository: https://github.com/lhayana/mushroom-classification
Automated data extraction from iFood using web scraping. Structured collection of restaurant menus, pricing, and related data.
Repository: https://github.com/lhayana/web-scrapping-ifood
- 💼 LinkedIn: linkedin.com/in/lhayana
- ✉️ Email: lhayana11@gmail.com
Python, Jupyter Notebook, Pandas, Scikit-learn, PyTorch, TensorFlow, Git, SQL, Selenium, BeautifulSoup,
HuggingFace Transformers, LangChain, OpenAI API, Gradio
Thank you for visiting my profile. Feel free to explore my projects, contribute, or reach out.