Bioinformatics researcher and software developer specializing in single-cell genomics, machine learning, and computational biology workflows.
Web application for automated scRNA-seq analysis with AI-powered assistance.
High-accuracy ML model for leukemic stem cell classification from multi-omics data (95% accuracy).
Desktop app for randomized workout routine generation.
Languages: Python, R, Shell scripting
Bioinformatics: Scanpy, Seurat, Cell Ranger, CellTypist, scVI-tools
ML/Data Science: scikit-learn, PyTorch, pandas, NumPy
Web Development: Streamlit, FastAPI, Flask
DevOps: Docker, Git, HTCondor, Nextflow
- π Website:
- πΌ LinkedIn: linkedin.com/in/deepkapadia0612
- π§ Email: deepkapadia2000@gmail.com
π‘ Open to collaborations in computational biology and bioinformatics!