Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and modeling.
Involvement in projects related to scientific computing and data analysis (e.g., MoirePy, qkrylov, quatLT23).
Exposure to various programming paradigms and languages (Rust, C++, Julia, Dart) indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, showcasing a strong interest in scientific computing and diverse programming. However, the lack of team-based projects or contributions to larger open-source initiatives makes it difficult to assess collaboration and cultural fit in a corporate environment. The experience level is listed as 0, and the current role as 'Data Scientist' starting in 2026 suggests a future or academic appointment rather than current industry experience, which might impact immediate cultural integration into a fast-paced industry role.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, which does not allow for evaluation of logical reasoning, work attitude, stress handling, or team collaboration.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Aritra Mukhopadhyay

Data Scientist

https://www.opentalent.in/aritra-mukhopadhyay

Hobbyist... yes that is all the coding I do

National Institute of Science Education and Research

Kolkata, IndiaMember since June 12, 2026

https://www.opentalent.in/aritra-mukhopadhyay

Top Skills

RustPythonTeXDartC++CMakeCSSJavaScriptHTMLJupyter NotebookShellPostScriptMakefileJulia

Skills

RustPythonTeXDartC++CMakeCSSJavaScriptHTMLJupyter NotebookShellPostScriptMakefileJulia

Experience

National Institute of Science Education and Research

Data Scientist

June 12, 2026 – Present

Projects

qkrylov

June 2, 2026 – Present

A modern matrix-free exact diagonalization and Krylov-method framework for quantum many-body physics. Supports Lanczos, Davidson, Jacobi-Davidson, finite-temperature Lanczos, dynamical correlations, symmetry-resolved Hilbert spaces, GPU acceleration, and Python/Julia/C++ interfaces.

View Project

python_sprint

May 17, 2026 – Present

python_sprint — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and modeling.
Involvement in projects related to scientific computing and data analysis (e.g., MoirePy, qkrylov, quatLT23).
Exposure to various programming paradigms and languages (Rust, C++, Julia, Dart) indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit