I offer AI-related services including data analysis, model development, and intelligent automation.
Skills
- Programming & Tools: Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, OpenCV
- Machine Learning: Classification, Regression, Clustering, SVM, Random Forest, KNN, CNN, RNN
- Deep Learning: Image Classification, Object Detection, Transfer Learning, GNNs
- NLP & LLMs: LangChain, HuggingFace Transformers, FAISS, Chatbot Development
- Data Handling: Data Preprocessing, Feature Engineering, Time Series Forecasting, EEG Signal Processing
- Frameworks & Deployment: FastAPI, Streamlit, Docker, Jupyter Notebook
- Databases & Tools: SQLite, MongoDB, Kaggle, Git/GitHub
- Visualization: Seaborn, Plotly, PowerBI
- Cloud & APIs: HuggingFace API, OpenAI API, RESTful APIs
Project Experiences
- Skin Cancer Detection - ISIC 2024 Challenge: Used CNNs on 3D Total Body Photography (TBP) lesion images
- Store Sales - Time Series Forecasting (Kaggle): Predicted grocery sales using time series data, Focused on model tuning and feature extraction
- EEG Signal Classification Project: Converted CSV EEG signals to MNE format and built graphs Used CNN, RNN, and GNN to