- Learning Machine Learning & Data Science
- Skilled in Python, pandas, numpy, sklearn, EDA, Feature Engineering, Linear Regression
- Interested in Open Source & GSoC 2026
- Love working with datasets and ML models
Python • Pandas • NumPy • Matplotlib • Seaborn • Scikit-learn • EDA • Feature Engineering • Linear Regression • HTML • CSS • Git
- ML basics projects
- Data analysis & visualization
- Open-source preparation
- Fixed pandas FutureWarning in
infer_categorical_columnsfunction
PR: NeurodataWithoutBorders/nwbwidgets#323
Impact: Eliminated test warnings, improved code quality
- Added Windows & Anaconda installation documentation
PR: INCF/csa#27
Impact: Made project more accessible to Windows users
- More bugs to fix in open source projects
- Opportunities to learn and contribute
- Building practical experience with real codebases
⭐ Growing every day as an ML and open-source developer.