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Python Fullstack Intern with less than a year in Django, React & AI/ML
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 Python Full Stack Developer and B.Tech graduate with practical experience in designing and developing responsive, user-centric web applications using Django, React.js, REST APIs, HTML, CSS, JavaScript, Bootstrap, and MySQL. Highly skilled in Python and equipped with strong knowledge of Machine Learning, with hands-on experience executing ML-based projects involving data analysis, predictive modeling, and intelligent automation. Passionate about leveraging modern technologies to build scalable, efficient, and AI-driven solutions that deliver real-world impact.
Government Engineering College, Palakkad
Bachelor of Technology (B.Tech) · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Unknown
Python Fullstack Developer Intern
October 1, 2025 – June 1, 2026
Cochin, Kerala, India
Smart AI Resume Analyzer
January 1, 2025 – June 1, 2026
A Django-Based AI Web Application designed to evaluate resumes for ATS compatibility and job-fit scoring. The system uses advanced Artificial Intelligence and Machine Learning techniques to analyze resume content, extract important keywords, compare them with job descriptions, and generate a personalized relevance score. Key features include AI-driven resume parsing, automated keyword extraction and analysis, ML-based similarity scoring, and data-driven improvement recommendations. The application is built using Django (Python) as the backend and integrates both MySQL and MongoDB to efficiently manage structured and unstructured data. The frontend is developed using HTML, CSS, Bootstrap, JavaScript, and jQuery, ensuring a responsive, intuitive, and user-friendly interface.
Online Payment Fraud Detection using Machine Learning
January 1, 2025 – June 1, 2026
Developed a comprehensive, end-to-end fraud detection system built entirely around advanced Machine Learning techniques, using real-world online transaction datasets to accurately identify and prevent fraudulent financial activities. Designed and implemented scalable ETL (Extract, Transform, Load) pipelines to automate data ingestion, cleaning, preprocessing, feature engineering, and transformation, ensuring high-quality data flow, system scalability, and robust data integrity. Utilized advanced ML algorithms such as anomaly detection models, supervised classification techniques, and feature-based fraud pattern analysis to distinguish between legitimate and fraudulent transactions with high precision. Conducted extensive model training, hyperparameter tuning, cross-validation, and performance evaluation to optimize accuracy, minimize false positives, and enhance the reliability of the detection system. Built a data-driven decision support system that provides real-time insights, enabling early detection of suspicious transactions and strengthening the overall security of online payment ecosystems.
DataSicence and Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies, particularly in AI/ML and fullstack development. The listed internship, though future-dated, indicates a clear career path alignment with the target role. The diversity of technologies used across projects (Django, React, MySQL, MongoDB, ML algorithms) suggests adaptability and a willingness to explore different tools, which are positive indicators for cultural fit in a dynamic environment. However, the experience level is very low (0 years), and the internship is prospective, which might impact immediate cultural integration into a senior team without significant mentorship.
Soft Skills & Operational Fit
The candidate lists critical thinking, problem-solving, teamwork, adaptability, and effective communication as soft skills. The project descriptions suggest an ability to work on complex problems and design end-to-end solutions, which aligns with problem-solving and critical thinking. However, without direct observation or specific examples, the depth of these soft skills in a team or operational context is not fully verifiable.