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Software Engineer with less than a year in Python, React, and Data Analytics.
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 Computer Science graduate with strong knowledge of Python, SQL, JavaScript, React, and Data Analytics. Skilled in problem-solving, frontend development, and building data-driven applications using modern technologies. Passionate about software development, analytics, and creating scalable solutions in fast-paced environments.
Amrita vishwa vidyapeetham
Bachelor of Technology (B.Tech) · Computer Science Engineering
August 1, 2022 – June 30, 2026
Narayana IIT Academy
Intermediate (12th Grade)
June 1, 2020 – May 31, 2022
Dynamic Scene Graph Generation using Transformers
January 1, 2025 – January 1, 2025
Built a dynamic scene graph generation pipeline using Python and transformer-based deep learning models. Applied keyframe extraction techniques to reduce redundant video frames and improve processing efficiency. Captured object relationships and temporal interactions for video scene understanding.
Fraud Detection in Classroom Assignments
January 1, 2025 – January 1, 2025
Developed a machine learning system using Python, Pandas, and Scikit-learn to detect copied assignments. Implemented text similarity, preprocessing, and feature extraction techniques for plagiarism analysis. Improved detection accuracy using classification and similarity evaluation methods.
Fitness Tracking Application
January 1, 2024 – January 1, 2024
Developed a responsive fitness tracking application using ReactJS, HTML, and CSS. Implemented workout, calorie, and daily activity tracking with interactive UI components. Designed user-friendly dashboards for smooth navigation and activity monitoring.
Goldman Sachs Job Simulation operations
Forage
June 1, 2026 – Present
Deloitte Data Analytics
Forage
June 1, 2026 – Present
Goldman Sachs Excel Skills for Business
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest across machine learning, deep learning, and frontend development. Involvement in cultural and technical fests indicates a proactive and engaged individual, which could contribute positively to team dynamics. However, the lack of professional experience means cultural fit is primarily based on academic and extracurricular activities, which may not fully reflect workplace readiness.
Soft Skills & Operational Fit
The candidate's involvement in various academic and cultural events suggests potential for leadership, teamwork, and organizational skills. However, without specific psychometric or English test results, a definitive assessment of work attitude, stress handling, and communication clarity cannot be made. The project descriptions are clear and concise, indicating good written communication.