MOUNIKA C.

Mounika C. is currently a Project Trainee at the Indian Space Research Organisation (ISRO), where she develops advanced machine learning and data analysis solutions. Her recent projects include creating a web-based periodicity detection tool for the Astrosat Sky Scanning Monitor. Utilizing powerful time series analysis methods like Fast Fourier Transform and Lomb–Scargle periodogram, Mounika's platform efficiently processes over 10,000 FITS files with Astropy, significantly reducing analysis time. Her work, designed with custom filtering and visualization features, accelerates research in identifying pulsars and other astrophysical sources. Additionally, she has extensive experience in data science, demonstrated through her study on cybersecurity, where she integrates big data analytics and AI to enhance threat detection. Mounika's technical acumen spans across machine learning models such as GNN, with applications in protein interaction networks, and drug classification using algorithms like Decision Tree and Naïve Bayes, achieving up to 99% accuracy, thus advancing decision support systems in healthcare.