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Python Engineer with less than a year in web applications & machine learning.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in developing web applications using Django, along with front-end technologies such as HTML, CSS, Bootstrap, and JavaScript. Strong understanding of REST APIs, database management, version control (Git), and modern development workflows. Quick learner with solid problem-solving skills, passionate about creating clean, user-friendly interfaces and efficient backend systems. Dedicated to writing clean, maintainable code and continuously enhancing technical skills.
Jai Bharath College of Management and Engineering Technology
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Fake Profile Detection Using Machine Learning
June 28, 2026 – Present
This project aims to detect the phony profiles on social media platforms and to disable or remove them. This uses ML techniques such as supervised, unsupervised, semi-supervised, deep learning and feature engineering.
Web Based Booking Application for Smart Parking System
June 28, 2026 – Present
The aim of web based booking application for a smart car parking system is to provide a convenient, efficient and user friendly platform that allows drivers to easily find, reserve, and pay for parking spaces in real time.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse areas like machine learning and web application development. The listed technical skills align well with a Python Engineer role, indicating a foundational fit. However, the lack of professional experience or extracurricular activities limits the depth of cultural fit assessment.
Soft Skills & Operational Fit
The candidate's professional summary highlights problem-solving skills, a passion for clean code, and a dedication to continuous learning, which are positive indicators for operational fit. However, without psychometric test results or interview data, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.