I am a PhD candidate in Astrophysics, with a strong foundation in data analysis, statistical modeling and Python
programming; skills developed through years of academic research and hands-on projects. My expertise
includes: hypothesis testing, data mining, correlation functions, data visualization, and parallel processing, with
a track record on different kinds of datasets and developing theoretical models to address challenging scientific
questions. I work continuously on translating intricate concepts into clear, manageable objects and enjoy
collaborating with diverse teams to solve daily problems. Beyond research, I am deeply committed to sharing
knowledge through mentorship and community engagement. Currently, I am exploring remote opportunities in
data science and programming which can have a positive impact for my skills and personal growth.