π§ Passionate about applying Data Science, Machine Learning, and NLP to solve real-world problems.
- π§ͺ Exploring various feature selection techniques to better understand their impact on model performance and interpretability.
- π€ Studying Agentic AI β how intelligent agents make autonomous decisions in dynamic environments.
- Python
- SQL
- TensorFlow, PyTorch, MeVisLab, AWS, GenAI
- Scikit-learn, XGBoost, LightGBM, Statsmodels
- OpenCV, Pandas, NumPy
- Machine Learning, Deep Learning, Ensemble Learning
- Feature Engineering & Feature Selection
- NLP, Data Analytics, Model Evaluation, Data Preprocessing
- Computer Vision
- Git & GitHub, Jupyter Notebook, Google Colab, VS Code