Indian Himalayan glaciers are significant indicators of regional climate change and future water availability. Due to its inaccessible location and difficult terrain, observational data is scarce. Hence, it is imperative to prioritize modeling glaciers in the Indian context to enhance our comprehension of how glaciers are reacting to the current climate changes. This paper utilizes the Open Global Glacier Model (OGGM) to simulate the changes in glacier mass and volume over time, focusing on the initial state of the Chhota Shigri Glacier. OGGM is an open source, global, modular, community driven numerical framework which utilizes the publicly available data [e.g., geodetic data and World Glacier Monitoring Service (WGMS)] for calibration and validation purposes. The study has employed baseline climate data (W5E5) and Randolph Glacier Inventory (RGI v6.0) outlines as input for the modeling workflow in the Chhota Shigri Glacier, a bench mark glacier located in the Western Indian Himalaya. The study has involved detailed sensitivity analysis of three model parameters (viz. melt factor, precipitation factor and temperature bias) on the modeled glacier evolutions. The study outcomes during the year 2003 to 2019 would give generalized understanding on impacts of glacier evolution, other glaciological and hydrological processes in Western Indian Himalayan River basins.