Hello, I'm Swarnabha Banerjee
First year undergraduate at Jadavpur University, Kolkata.
Work Experience
CeNSE Winter School 2025
Centre for Nano Science and Engineering, Indian Institute of Science, Bangalore, IndiaDecember 2025 - December 2025
- Completed two-week online training on semiconductor technology.
- Learnt about fundamentals of fabrication, cleanroom processes, photolithography, thin-film deposition, device design, and characterization techniques.
- Got opportunity to interact with experts and researchers in the field.
- Received a Certificate of Distinction for scoring above 75% in the proctored test after completion of the program.
2025 Sagan Summer Workshop on "Silver Jubilee: Exoplanet Demographics"
NASA Exoplanet Science Institute, California Institute of Technology, Pasadena, California, USAJuly 2025 - July 2025
- Completed workshop remotely via the Zoom webinar on exoplanet demographics from July 21-25, 2025.
- Learnt about exoplanet detection methods, characterization, insights of exoplanet missions.
- Got opportunity to interact with experts and researchers in the field.
- Received a Letter of Attendance after completion of the program.
Education
Bachelor of Engineering in Civil Engineering
Jadavpur University, Kolkata, India
Sep 2025 - Dec 2029 (Expected)Relevant Coursework: Engineering Mathematics (Integral Calculus, Vector Calculus, and Differential Calculus), Engineering Drawing, Engineering Physics, etc.
Bachelor of Science in Data Science and Applications
Indian Institute of Technology, Madras, India
Jan 2025 - Jun 2029 (Expected)CGPA: 8.0 (After Foundation Level)
Relevant Coursework: Mathematics for Data Science, Programming in Python, Statistics for Data Science, Machine Learning Foundations, Database Management Systems, etc.
Skills
- Programming Languages: Python, C
- Web Development: HTML, CSS, JavaScript
- Data Analysis: Pandas, NumPy, Matplotlib
- Machine Learning: Scikit-learn
- Version Control: Git, GitHub
- Scientific Computing: MATLAB
- Documentation: LaTeX, MS Office
Projects
Personal Portfolio Website (Click Here)
- Developed a personal portfolio website using HTML, CSS, and JavaScript to showcase my skills, projects, and experience.
- Implemented responsive design to ensure compatibility across various devices and screen sizes.
- Deployed the website using GitHub Pages for easy access and sharing.
Exploring Stellar Classification with Machine Learning (Click Here)
- Developed an end-to-end machine learning pipeline to classify star types using astronomy data (luminosity, temperature, radius).
- Verified data quality by testing for agreement with Stefan-Boltzmann law; used the Kaggle "Star Dataset" as a source.
- Implemented and compared Random Forest and Linear Regression, presenting side-by-side results on HR diagram plots.
- Provided all code, analysis, and output figures in a reproducible Jupyter Notebook for open validation and future benchmarking