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Frontend Developer with less than a year in web app development and data mining.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer (MERN) and Web App Developer with a strong academic background in computer science. Possesses technical skills in Java, JavaScript, HTML, CSS, React.js, MySQL, and Git. Experienced in developing web applications for fraud detection and online voting, as well as data analysis for medical reports. A collaborative problem-solver with effective communication and adaptability skills.
KLN COLLEGE OF ENGINEERING
Master of Computer Application · Computer Application
August 1, 2023 – June 30, 2025
SOURASHTRA COLLEGE
Bachelor of Computer Science · Computer Science
August 1, 2020 – June 30, 2023
ONLINE VOTING SYSTEM
June 1, 2026 – June 1, 2026
Proposed a system by developing a web application using DJANGO to serve as an automated voting system for organizations or institutions, helping to computerize operations and reduce errors compared to manual systems.
FRUAD APP DETECTION
May 1, 2025 – May 1, 2025
Proposed a system by developing a web application to detect fraud apps using sentiment comments and data mining. Implemented sentimental analysis to determine emotional tones and used an LSTM model to predict results.
BREAST CANCER REPORT ANALYZE
April 1, 2024 – April 1, 2024
Proposed a system to directly analyze medical reports. This method provides a report to analyze functions for doctor consulting, showing accuracy values of molecular functions and their ranges.
Workshops attended on React.js
Unknown
June 1, 2026 – Present
Workshops attended on Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications, from fraud detection to medical analysis and voting systems. The stated soft skills suggest a willingness to collaborate and adapt, which are generally positive for cultural fit. However, the lack of professional experience makes it difficult to fully assess cultural alignment with a fast-paced industry role.
Soft Skills & Operational Fit
The candidate highlights soft skills such as collaboration, problem-solving under deadlines, and adaptability. These are positive indicators for operational fit, though practical application in a professional setting is unproven due to lack of work experience.