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Data Analyst with less than a year in data analysis & visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science and Engineering graduate with a strong foundation in programming and data analytics. Skilled in Python, HTML/CSS, and data analysis techniques. Passionate about transforming data into meaningful insights and eager to start a career in the field of Data Analytics. Passionate about analyzing data to identify trends, generate insights, and support data-driven decision-making.
Nirmala college of engineering
B.Tech · Computer Science engineering
October 1, 2022 – April 1, 2026
Techolas Kochi
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May 1, 2023 – May 1, 2023
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AI Enabled Healthcare (Helix)
December 1, 2025 – March 1, 2026
Developed an AI-based disease prediction using machine learning algorithms. Designed a user-friendly interface for symptom input and real-time health insights.
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January 1, 2025 – April 1, 2025
A secure web-based platform for conducting campus elections digitally. Ensures vote integrity with encryption, authentication, and real-time results.
Cultural Fit Analysis
The candidate's academic projects (AI Enabled Healthcare, Digital Campus E-voting System) demonstrate a diverse interest in applying technology to different domains. The internships, though short-term, show a consistent pursuit of data analytics roles, indicating alignment with the target role. The breadth of skills mentioned (Python, Web development, Git basics) suggests a willingness to learn and adapt, which is positive for cultural fit in a dynamic environment. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving', 'Quick Learner', 'Communication Skill', and 'Team work' as soft skills. These are valuable for operational fit, indicating a proactive and collaborative approach. The project descriptions suggest an ability to work on defined tasks and contribute to team goals, which aligns with typical operational requirements for an entry-level Data Analyst.