I am a 2nd year PhD student in the Department of Statistics at Rutgers University.
Prior to this, I was working as a Data Scientist at Accenture Data & AI, where I was involved in developing forecasting models in retail domain using relevant analytical and statistical tools. I graduated with a Masters in Statistics from University of Hyderabad, India securing Gold Medal for academic excellence, and a Bachelors in Statistics from Lady Brabourne College, University of Calcutta, India.
Prior to this, I was working as a Data Scientist at Accenture Data & AI, where I was involved in developing forecasting models in retail domain using relevant analytical and statistical tools. I graduated with a Masters in Statistics from University of Hyderabad, India securing Gold Medal for academic excellence, and a Bachelors in Statistics from Lady Brabourne College, University of Calcutta, India.
Research Interests
I am currently interested in:
- understanding deep generative models, specifically variational autoencoders and diffusion models
- model criticism
- causal representation learning
Relevant Coursework at Rutgers
- Theory of Probability, Theory of Statistics, Advanced Applied Statistics [Fall 2024 - Spr 2025]
- Advanced Probability Theory, Trustworthy Statistical Learning [Fall 2025]
- Optimization for Data Science [Spr 2026]
Skills
- Languages: Python, PySpark, R, SAS, SQL
- Statistical Software: SAS (Enterprise Guide, Forecast Studio, and Viya)
- Cloud Computing Services: Azure, Google Cloud Platform
- Visualization Tools: Tableau, SAS Visual Analytics
Work Experience
- Data Scientist Senior Analyst, Accenture, Data & AI, India [2021 - 2024]
- Associate Data Scientist, Core Compete (Acquired by Accenture AI), India [2020 - 2021]
- Data Science Intern, Core Compete, India [Summer 2019]