I am currently working as a research scientist at Lockheed Martin Solar & Astrophysics Lab, in Palo Alto, CA, in collaboration with NASA Ames Research center. I am mainly interested in understanding the dynamics of the solar atmosphere-the energy exchanges that place, the role of the magnetic field, and consequently my dream: (as is like all the other solar physicists) to understand why the solar corona is so hot and what contributes to its heating and mass loading. My interests lie in investigating and understanding "spicules" or small-scale jet-like structures that are found ubiquitously on the surface of the Sun and are believed to play a crucial role in heating the solar corona. For this purpose, I use high-quality data sets from the 1-m Swedish Solar Telescope (SST) located in La Palma and couple that with the space-based datasets from the Interface Region Imaging Spectrograph (IRIS) mission of NASA. Analysing co-temporal and co-spatial datasets help in understanding the complete picture of the solar atmosphere in unprecedented detail. I also have advanced skills in image processing, data visualization, exploratory data analysis, computer vision, and statistical analyses. Basically, I work at the confluence of solar physics and data analysis. Check out my Github profile: https://github.com/souvikita My interest also lies in understanding and applying Machine learning and Neural Networks in the field of solar astronomy and image processing. I really feel this is a great way forward to bridge the gap between academia and industry. A small step toward the same has been achieved when I worked as a space exploration researcher at the 2019 NASA Frontier Development Lab. Check out my talk delivered at Google HQ, Mountain View here: https://frontierdevelopmentlab.org/blog/2019/9/23/nasa-fdl-2019-astronaut-health-team-final-presentation-t9p8b
Listed skills include Microsoft Office, Microsoft Excel, Microsoft Word, Leadership, and 22 others.