Nashik, Maharashtra, India
Applied Machine Learning to analyze subseasonal ocean current variability in the Bay of Bengal using satellite and RAMA buoy data. Utilized self-organizing maps(SOM) and clustering for pattern recognition, achieving high correlation accuracy. Conducted Frequency and Time Series Analysis using Fast Fourier Transform (FFT) to identify variability patterns. Developing predictive models to assess monsoonal impacts and visualized insights using feather plots and power spectra for enhanced climate modeling.