
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science | Python, SQL, Pandas, NumPy | B.Tech CSE Student
B.Tech CSE student at GIFT Bhubaneswar with 7.82 CGPA. Skilled in Python, Java, SQL, and Machine Learning basics. Completed internships in Python and AI-ML using NumPy, Pandas. NPTEL Certified in IoT. Passionate about solving real-world problems with data and emerging technologies. Aspiring Data Science Engineer skilled in Python, Java, SQL, and ML fundamentals. Experienced with NumPy, Pandas through AI-ML internship. NPTEL IoT Certified. Strong in DSA and problem-solving. CSE undergrad with hands-on experience in Python, AI-ML, and Data Analysis. Proficient in NumPy, Pandas, SQL. NPTEL certified and adaptable to new technologies.
GIFT Autonomous, Bhubaneswar
B.Tech · Computer Science and Engineering
July 31, 2023 – August 30, 2027
A score of 59% indicates a basic grasp of the subject matter but significant room for improvement in practical application and advanced concepts.
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Cultural Fit Analysis
The candidate's resume indicates participation in event organization and interest in outdoor sports, suggesting a potential for team engagement and a balanced lifestyle. The diversity of technical tests taken (Java, SAP, Full Stack, MERN, Data Science) shows a broad interest in technology, which can be a strength for adaptability but also indicates a lack of focused specialization at this early career stage. The target role of 'Data Science Engineer' aligns with their AI/ML internship and Data Scientist test, suggesting a clear career direction.
Soft Skills & Operational Fit
The candidate's psychometric test score of 338/500 (67.6%) suggests a moderate level of logical reasoning, work attitude, stress handling, and team collaboration. While not outstanding, it indicates a baseline fit for operational roles. The English test score of 63% suggests communication clarity could be improved for professional settings.
A perfect score of 100% demonstrates complete mastery of the assessed SAP Digital Transformation Manager concepts.
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A perfect score of 100% demonstrates complete mastery of the assessed IT Business Partner concepts.
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A perfect score of 100% demonstrates complete mastery of the assessed Full Stack Developer (FE) concepts.
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A perfect score of 100% demonstrates complete mastery of the assessed Application Developer — Java & Web Tech concepts.
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A perfect score of 100% demonstrates complete mastery of the assessed Full Stack Python development concepts.
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A score of 85% indicates a strong understanding with minor areas for refinement in specific topics.
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A score of 85% indicates a strong understanding with minor areas for refinement in specific topics.
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A score of 76% indicates a good understanding but suggests opportunities to deepen knowledge in advanced AI/ML topics.
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A score of 79% indicates a good understanding of the MERN stack, with some areas for advanced skill development.
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