Passionate about developing innovative ML/DL solutions through hands-on projects. My work demonstrates practical applications of artificial intelligence across various domains.
Project Focus Areas
- Computer Vision (object detection, image classification)
- Natural Language Processing (text analysis, sentiment detection)
- Predictive Modeling (time series, regression)
- Deep Learning (CNN, RNN, Transformers)
Technical Skills
- Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
- Languages: Python, R
- Tools: Jupyter, Git, Docker
- Libraries: NumPy, Pandas, OpenCV
- Visualization: Matplotlib, Seaborn
Project Highlights
- Implemented real-time object detection using YOLO
- Built sentiment analysis models using BERT
- Developed time series forecasting using LSTM
- Created recommendation systems using collaborative filtering
- Designed custom CNN architectures for image classification
Each project includes thorough documentation, model evaluation metrics, and code repositories for reference. Strong focus on model optimization, clean code, and reproducible results.
Ready to collaborate on interesting ML/DL projects or discuss technical implementations.