Hi everyone,
I’m Swarnesh Kunden, a Bachelor of Engineering graduate with a strong interest in Python development, data-driven systems, and open-source research software.
I’ve recently started exploring INCF projects and am particularly interested in contributing to Python-based tools, data standards, and reproducible workflows that support neuroscience research.
Education & Technical Background
Bachelor of Engineering (Computer / IT background)
Strong foundation in Python
Experience with validation, and analysis
Familiar with ML workflows, clean data pipelines, and testing
Comfortable with Git, GitHub workflows, and collaborative development
Relevant Projects
Fake & Safe Link Detection System
Built a Python-based ML system to classify URLs as safe or malicious, focusing on data preprocessing, feature extraction, and evaluation.
PCOS Disease Prediction System
Developed a machine-learning–based prediction model using structured medical data, emphasizing clean datasets, reproducibility, and interpretability.
Python Automation & Data Utilities
Created small Python tools for data cleaning, validation, and workflow automation, following modular and testable design practices.
I’ve set up INCF repositories locally, reviewed the contributor guidelines, and I’m currently exploring beginner-friendly issues to start contributing in a meaningful and consistent way.
Looking forward to learning from the community and contributing to INCF projects.
Thank you!