arnab bhattacharya

Data Scientist

https://talent.gravityer.com/arnab-bhattacharya

coder by profession, learner by passion

India

Key Strengths

Exposure to Machine Learning concepts through 'ml-coursera-practice' project.
Familiarity with Matlab, which is relevant in data analysis contexts.
Experience with various personal projects, indicating self-driven learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and cover a diverse range of technologies (C++, Matlab, Vue, Shell, Dockerfile). While this demonstrates a breadth of interest, there is a lack of direct alignment with a senior Data Scientist role in terms of project depth, team collaboration, or specific data science methodologies. The 'ml-coursera-practice' project is a positive indicator, but its scope and impact are not detailed. The absence of professional experience or education makes it difficult to assess cultural fit within a professional team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.

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