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Data Science with less than a year in Data Analysis and Advanced Excel.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Commerce graduate from Vivekanand Education Society's College of Arts, Science and Commerce, seeking to leverage strong analytical, research, and organizational skills in a professional business environment. Passionate about contributing to team success through dedication and a quick-learning mindset.
Vivekanand Education Society College of Arts, Science and Commerce
Bachelor of Commerce (B COM)
August 1, 2022 – June 30, 2025
Swami Vivekanand Kanishtha Mahavidyalaya
HSC Passed
June 1, 2021 – May 31, 2022
Muncipal School
SSC Passed
June 1, 2019 – May 31, 2020
House Price Prediction
June 25, 2026 – Present
Data Analysis project: House Price Prediction.
Titanic Survival Prediction
June 25, 2026 – Present
Data Analysis project: Titanic Survival Prediction.
Census Income Category Prediction
June 25, 2026 – Present
Data Analysis project: Census Income Category Prediction.
Loan Default Prediction
June 25, 2026 – Present
Data Analysis project: Loan Default Prediction.
Cultural Fit Analysis
The candidate's profile indicates a focus on personal data analysis projects, which aligns with the target role of Data Science. However, the projects are generic and lack specific technologies or methodologies, limiting the assessment of depth. The candidate is a recent commerce graduate with no professional experience, suggesting a need for significant mentorship and structured development within a team. The breadth of skills is limited to basic office tools and a general mention of 'Data Analytics'.
Soft Skills & Operational Fit
The candidate highlights motivation, detail-orientation, strong analytical, research, and organizational skills, and a quick-learning mindset. These indicate a foundational fit for a professional business environment. However, without specific work experience or detailed project descriptions, it's difficult to assess operational fit beyond these self-reported attributes.