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Entry-level Python Full Stack Developer with 1 month of internship experience.
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Assessing your cultural and operational fit
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.