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deep-kapadia-6/README.md

Hi, I'm Deep Kapadia πŸ‘‹

Bioinformatics researcher and software developer specializing in single-cell genomics, machine learning, and computational biology workflows.

🧬 Featured Projects

Live Demo 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).

Download Desktop app for randomized workout routine generation.

πŸ› οΈ Technical Skills

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

πŸ“« Connect

πŸ“Š GitHub Stats

Deep's GitHub stats&cache_seconds=1800

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πŸ’‘ Open to collaborations in computational biology and bioinformatics!

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  1. RNA-SeqEasy RNA-SeqEasy Public

    A Python web application for automating RNA sequencing workflow management with interactive parameter collection, automated processing, and AI-powered chatbot support.

    Python