As a Ph.D. researcher in Astronomy at INCT-UDA, Chile 🌌, I study variable stars, Galactic structure, and Milky Way chemodynamics using the data from the large scale surveys like S-PLUS, GAIA, APOGEE, GALAH, LAMOST. I'm skilled in data science techniques, with demonstrated experience in large-scale data analysis, machine learning, and workflow automation. I am passionate about leveraging data-driven solutions to address both research and real-world challenges.
- Astronomy: Photometry, Spectroscopy, Stellar Pulsation, Polarimetry
- Programming: Python, IDL, Fortran, Bash, R, C++
- Data Science: Machine Learning (Classification/Prediction), Astro-statistics, Time-Series Analysis
- Tools: HPC, IRAF, DS9, Phoebe, Cloudy, TOPCAT etc.
- Developing methods for stellar parameter estimation using S-PLUS photometry
- Investigating the structure and dynamics of the Milky Way
- Exploring advanced data science techniques to extract hidden information from time-series
- Email: debasish.academic@gmail.com, Webpage: https://debasishhazarika.github.io/