Entry-level Python Full Stack Developer with 1 month of internship experience.
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Python Full Stack Developer with strong knowledge in backend development, responsive web applications, database integration, and software engineering using Python, Django, JavaScript, SQL, and REST API concepts. Hands-on internship experience in web application optimization and collaborative development. Proven ability to build data-driven solutions, including a machine learning model achieving 93% accuracy, with strong technical leadership and problem-solving skills.
University College of Engineering Arni, Thiruvannamalai
B.E. Computer Science and Engineering (Minor) · Computer Science and Engineering
August 1, 2022 – June 30, 2026
BICS Global Private Limited
Full Stack Developer Intern
June 1, 2025 – July 1, 2025
Chennai, Tamil Nadu, India
Full-Stack Fitness Tracking System
April 1, 2025 – May 1, 2025
Architected a full-stack web application for workout logging, calorie tracking, and automated progress reporting. Designed interactive dashboards and personalized analytics to provide users with long-term fitness insights.
Self-Organizing Map for Data Visualization
April 1, 2025 – May 1, 2025
Engineered an unsupervised deep learning model for clustering and visualizing high-dimensional datasets, achieving 93% accuracy. Improved data interpretability through heatmap generation and component-plane visualizations for effective pattern analysis.
Python Full Stack Development
QSpiders, Bangalore
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a diverse interest in technology, with experience spanning full-stack web development (Django, Node.js) and machine learning. Their academic projects and internship experience directly align with the 'Python Django Full Stack Developer Intern' role, indicating a clear career interest and motivation. The breadth of skills (Python, JavaScript, SQL, HTML, CSS, Django, Node.js, Git, Figma) suggests adaptability and a willingness to learn various technologies, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills from their internship experience. Problem-solving abilities are evident through their machine learning project (achieving 93% accuracy) and debugging tasks. Leadership experience is noted from directing technical operations for a symposium event. They are proficient in version control workflows using Git and GitHub, indicating good operational fit.