Mukulika Pahari

Mukulika Pahari is currently an MSc student at the University of Alberta, focusing on studying physical processes in the Arctic and sub-Arctic oceans utilizing the NEMO ocean model. Prior experience includes a research intern role at the University of Alberta, where Mukulika analyzed high-resolution ocean circulation models and developed Python scripts for air-sea gas exchanges in the Labrador Sea. Mukulika also completed a project internship at the Indian Institute of Tropical Meteorology, concentrating on multichannel singular spectrum analysis for rainfall data. Additional experience includes technical writing internships at Symbl.ai and Google Season of Docs, where Mukulika contributed to documentation for Symbl features and the NumPy library, respectively. Mukulika holds a Bachelor's degree in Computer Engineering from the University of Mumbai.