Home Original page

JRBhat - Overview

👋 Hi, I'm Jayesh

🌟 Python Developer | AI Enthusiast | Currently innovating Healthcare and Clinical Research with Code

Welcome to my GitHub! I’m a Scientist(Healthcare) and a Python developer with a passion for building AI-driven solutions and Automating workflows. My work focuses on combining cutting-edge machine learning, image processing, and automation techniques to optimize processes in healthcare and clinical research.

🧑‍💻 About Me

  • 🔬 Background: I started as an R&D Project Scientist specializing in clinical trials for skincare and cosmetic products, but slowly transitioned my expertise into coding and AI/ML applications to solve real-world challenges in healthcare.
  • 🛠️ What I Do:
    • Develop Python-based tools for data processing, image analysis, and automation.
    • Build AI/ML solutions for healthcare imaging and clinical workflows.
    • Automate repetitive tasks using scripting and workflow orchestration tools.
  • 🚀 Currently Exploring: Computer vision, deep learning, and advanced process automation.
  • 🎯 Goal: All the interesting projects you find here wouldn't have been successful without the support, tips and mentorship of people way smarter than me from other diverse backgrounds. I feel both lucky and grateful for having had the chance to collaborate with them. That's why I want to stay open for future collaboration on impactful AI/ML/Software projects, especially in healthcare, automation and imaging. Feel free to reach out. Cheers!

🛠️ Technical Skills

Programming Languages & Tools

  • Python: Advanced knowledge (image processing, data analysis, AI/ML development).
  • Libraries/Frameworks: NumPy, OpenCV, TensorFlow, PyTorch, scikit-learn, Pandas.
  • Automation: Power Automate, AutoIT, VBA for Excel.

Specializations

  • AI/ML:
    • Computer vision for image segmentation and analysis.
    • AI-based tools for mapping medical imaging data (e.g., skin depth analysis).
    • Training and deploying machine learning models for healthcare data.
  • Image Processing:
    • Python pipelines for clinical image segmentation and intensity mapping.
    • Automation of repetitive image analysis workflows.
  • Process Automation:
    • End-to-end workflow automation using Python, VBA, and RPA tools.

🚀 Featured Projects

1. AI-Based Image Segmentation

Description: Developed a Python-based algorithm to segment image stacks and map intensity values to skin depth for clinical trials.

  • Tech Stack: Python, OpenCV, NumPy, TensorFlow.
  • Impact: Improved analysis accuracy by 40% and reduced manual effort by 10+ hours per trial.
  • [Coming soon]

2. Clinical Imaging Workflow Automation

Description: Built automation scripts to streamline repetitive clinical image post processing tasks.

  • Tools: Python, Latex, Excel and VBA
  • Impact: Reduced technician workload by 30% and minimized human error.
  • Repository Link

🌟 My Focus Areas

  1. AI & Machine Learning:

    • Computer Vision for Healthcare Imaging.
    • Developing machine learning models for predictive analytics.

  2. Process Automation:

    • Workflow optimization using Python and RPA tools.
    • Reducing repetitive tasks and enhancing operational efficiency.

  3. Healthcare & Clinical Research:

    • Innovating imaging workflows for clinical trials.
    • Developing AI tools and GUIs to assist healthcare professionals.

📫 Connect With Me

Let’s collaborate on innovative Python, AI/ML/DS, or automation projects that solve real-world challenges!