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Data Analyst with 1+ years in Data Analytics, Python, SQL, and Power BI.
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 Data Analytics fresher with a Computer Science background. Skilled in Excel, SQL, Power BI, and Python with hands-on project experience. Capable of analyzing data, creating dashboards, and generating insights. Seeking an entry-level Data Analyst role to apply analytical skills and grow in a data-driven environment.
Holy Mary Institute of Technology and Science
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Sri Gayatri Junior College
Intermediate (MPC)
N/A – May 31, 2021
Cal Public School
CBSE (10th)
N/A – May 31, 2019
Driver Drowsiness Detection System
June 24, 2026 – Present
Developed a real-time system using Python and OpenCV to detect driver drowsiness. Monitored eye blink and closure patterns to improve road safety. Implemented image processing techniques for accurate detection.
Stayscape Rental Platform
June 24, 2026 – Present
Designed a rental platform for searching and viewing property listings. Implemented filtering features for better user experience. Improved data organization and accessibility.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in problem-solving and applying technical skills. The 'Driver Drowsiness Detection System' project shows an application of Python and OpenCV, which, while not directly data analysis, indicates a willingness to learn and apply new technologies. The 'Stayscape Rental Platform' project is more aligned with data organization and accessibility. The candidate is a fresher, so project diversity is limited but shows foundational technical interests. The target role of Data Analyst aligns with the stated technical skills and profile summary.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, teamwork, adaptability, and time management as soft skills. These are generally positive for operational fit, but without specific examples or assessment data, their practical application and effectiveness cannot be fully evaluated.