π Python Developer | AI Enthusiast | Currently innovating Healthcare and Clinical Research with Code
Welcome to my GitHub! Iβm 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.
- π¬ 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.
- π οΈ 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.
- π Currently Exploring: Computer vision, deep learning, and advanced process automation.
- π― 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!
- 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.
- 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.
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]
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
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AI & Machine Learning:
- Computer Vision for Healthcare Imaging.
- Developing machine learning models for predictive analytics.
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Process Automation:
- Workflow optimization using Python and RPA tools.
- Reducing repetitive tasks and enhancing operational efficiency.
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Healthcare & Clinical Research:
- Innovating imaging workflows for clinical trials.
- Developing AI tools and GUIs to assist healthcare professionals.
- LinkedIn: www.linkedin.com/in/jayeshbhat
- Portfolio/Blog: Coming soon!
- Email: jayesh.r.bhat@gmail.com
Letβs collaborate on innovative Python, AI/ML/DS, or automation projects that solve real-world challenges!