Ph.D. Scholar in Atmospheric Science specializing in climate variability, extreme events, and statistical downscaling techniques, with expertise in advanced data analysis and numerical modeling.
Programming Languages: Python, R- programming, MATLAB, Machine Learning
Tools & Libraries: Jupyter, NumPy, Pandas, matplotlib, Scikit-learn, Keras, TensorFlow, SciPy
undefinedPresently, I am working on the “Evaluation of different Statistical and Dynamical downscaling techniques for rainfall distribution and extreme precipitation events over India from CMIP6 models” under the supervision of Dr. Kiranmayi Landu, SEOCS, IIT Bhubaneswar.
MS Excel and Data Handling, Data Analysis, Communication & Interpersonal Skills, Team Coordination, Time Management & Multitasking, Adaptability & Willingness to learn