プロフィール詳細

プロジェクトを作成

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Samit G.に依頼

India

Bayesian Data Analyst | MCMC, Nested Sampling, JAX/Python | Inference & Uncertainty Quantification

プロフィール概要

I am a researcher and scientific data analyst with deep expertise in Bayesian statistical inference, probabilistic modelling, and high-performance scientific computing. My core strengths lie in designing and implementing MCMC and nested sampling pipelines (dynesty, emcee) for parameter estimation, model comparison, and uncertainty quantification across complex, multi-dataset problems. I work primarily in Python and JAX, building efficient, differentiable inference pipelines that integrate ODE solvers, likelihood models, and posterior diagnostics. My experience spans the full data analysis workflow — from physical model design and numerical implementation to posterior sampling and publication-ready result interpretation. I am comfortable working with noisy, real-world scientific datasets and translating domain-specific problems into rigorous statistical frameworks. Whether you need a Bayesian model built from scratch, an existing pipeline debugged and optimized, or posterior results carefully interpreted, I can deliver reliable, well-documented solutions. I am available for freelance collaborations in physics, engineering, bioinformatics, and any field requiring rigorous statistical data analysis.

専門分野

• ☆ Statistics
• ☆ Bayesian Statistics
• ☆ Earth & Atmospheric Science
• ☆ Astrophysics
• ☆ Particle Physics
• ☆ Theoretical Physics
• ☆ Computational Physics
• ☆ Applied Mathematics
• ☆ Mathematical Physics
• ☆ Python

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, General Proofreading & Editing, Translation

Research Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML

職務経験

Assistant Professor

Haldia Government College

7月 2020 - 現在

学歴

Ph.D. (Physics)

University of Calcutta

4月 2024 - 現在

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Samit Ganguly, Goutam Manna, Debashis Gangopadhyay, Eduardo Guendelman, Abhijit Bhattacharyya (2025). Non-affine extensions of the Raychaudhuri equation in the K-essence framework . Physics Letters B.

Samit Ganguly, Narayan Banerjee, Abhijit Bhattacharyya, Goutam Manna (2025). Particle production rate for a dynamical system using the path integral approach . Physical Review D.