Experience

National Radio Astronomy Observatory

• United States
• Research
• 300 - 400 Employee

• Jansky Fellow

  • Jan 2021 - Present

  • Conducting data modeling using chi-square and Bayesian methods, model selection, and parameter estimation • Using adaptive spatial binning (Voronoi Tessellations) to create high-res maps of stars properties in an interacting galaxy, optimized image grid sizes to balance the resolution loss with improved signal sensitivity • Conducting data modeling using chi-square and Bayesian methods, model selection, and parameter estimation • Using adaptive spatial binning (Voronoi Tessellations) to create high-res maps of stars properties in an interacting galaxy, optimized image grid sizes to balance the resolution loss with improved signal sensitivity



University of Virginia

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student and Research Assistant

  • Aug 2014 - Jan 2021

  High-resolution Radio Imaging of Dusty Radio Quasars • Designed semi-automated Python pipelines to reduce and process 100s GBs of data, applied Fourier imaging techniques to generate radio frequency images, sped up the process to generate science ready images Radio Spectral Modeling to Find Young Supermassive Black Holes (SMBHs)• Developed python pipeline to query and cross-match multiple databases to generate radio spectra• Modeled radio emission of the sample and performed statistical analyses including survival analysis on censored data, correlation, and hypothesis testing to understand the connection between our sample and other galaxies, found 60% of the sample to host young SMBHs Show less

• Graduate Teaching Assistant

  • Aug 2014 - May 2017



National Radio Astronomy Observatory

• United States
• Research
• 300 - 400 Employee

• Reber Pre-Doctoral Fellow

  • Sep 2018 - Jan 2020



National Radio Astronomy Observatory

• United States
• Research
• 300 - 400 Employee

• Grduate Summer Research Assistant

  • Jun 2016 - Aug 2016

  • Developed a python pipeline to search for serendipitous detections of Faint submillimeter galaxies • Automated identification and reduction of new target data to make a science-ready image, and used source identification software to display useful properties of the targets • Discovered 15 new galaxies and estimated their distance using template fitting approach • Developed a python pipeline to search for serendipitous detections of Faint submillimeter galaxies • Automated identification and reduction of new target data to make a science-ready image, and used source identification software to display useful properties of the targets • Discovered 15 new galaxies and estimated their distance using template fitting approach



Indian Institute of Science Education and Research (IISER), Pune

• India
• Research Services
• 700 & Above Employee

• Master Thesis Student

  • Aug 2013 - May 2014

  • Assisted in the development and testing of C tools to statistical data flagging, filtering, and data decimation for faster analysis of ~5TB of raw data using image processing • Assisted in the development and testing of C tools to statistical data flagging, filtering, and data decimation for faster analysis of ~5TB of raw data using image processing