Rahul Bajaj

Data Scientist

https://talent.gravityer.com/rahul-bajaj

New Delhi, Delhi, IndiaMember since June 18, 2026

Key Strengths

Exposure to Python, a core language for Data Science.
Experience with Jupyter Notebook, a common tool in data science workflows.
Demonstrated interest in AI/ML through 'kind-minds-ai' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of technologies, including web development (HTML, CSS, JavaScript), backend (TypeScript, Python, PL/pgSQL), and scientific computing (C++, Cython, Fortran). This breadth suggests adaptability and a willingness to explore different domains. The 'kind-minds-ai' and 'mega_project2' (Jupyter Notebook) projects align with a Data Scientist role, indicating a potential interest in the field. However, the lack of detailed descriptions for most projects makes it difficult to fully assess the depth of engagement or specific contributions, which is crucial for cultural fit in a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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