About
I’m a data scientist working with smart data at HASP, to better understand and improve the health and sustainability of places. Before this, I completed a PhD in astrophysics at The Open University in the UK, exploring exoplanet atmospheres with JWST data.
Skills
Programming: Python (NumPy, SciPy, Pandas, sklearn, PyTorch, TensorFlow, Dask), SQL, C
ML/AI: LLMs, NLP, Bayesian Methods, Clustering, Classification
Data Engineering: PySpark, ETL Pipelines, CI/CD, Docker
Cloud: GCP, Azure, Docker
Experience
Research Data Scientist
Healthy and Sustainable Places (HASP), University of Leeds, UK | Jul 2025 - Present
Using smart data and geospatial tools to understand and improve the health and sustainability of places.
Doctoral Researcher
The Open University, UK | Feb 2022 - Jul 2025
Using JWST data and Bayesian methods to understand exoplanet atmospheres. Contributed to open-source Python package for atmospheric retrievals.
Data Scientist
Deutsche Welle + S2DS | Mar 2025 - Apr 2025
Developed framework to generate LLM responses to surveys and developed methods to identify synthetic responses.
MITACS Globalink Research Intern
McGill University | May 2019 - Aug 2019
Developed Python implementation for astrophysical calculations.
Education
PhD in Astrophysics
The Open University, UK | 2022 - 2025 (Expected)
B.S. + M.S. in Physics
IISER Kolkata, India | 2016 - 2021
Contact
Feel free to reach out:
- Email: Email me
- LinkedIn: Connect with me
- GitHub: View my code