Ruchya

Quantitatively trained graduate with a background in Physics, Mathematics, and Computer Science and experience in programming, statistical analysis, scientific data analysis, and quantitative research. Skilled in Python, R, SQL, Power BI, Excel, and statistical methods, with experience working with complex datasets and computational analysis. Strong analytical and problem-solving skills, with an interest in data analytics, business intelligence, and data-driven decision making.

Astrophysics & Astronomy Researcher at KU Leuven

• Worked with scientific datasets as part of graduate-level coursework and research.
• Used Python and computational tools to process, analyze, and visualize data.
• Applied statistical methods including linear regression, Bayesian analysis, MCMC, and mixed models to investigate quantitative relationships.
• Performed data analysis and visualization to identify patterns and interpret results.
• Developed computational workflows for processing and analyzing complex datasets.
• Communicated quantitative findings through visualizations, statistical results, and written analysis.

Bachelor's Degree in Physics, Mathematics & Computer Science – Mount Carmel Autonomous College (2021)