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Python Engineer with less than a year in web application development and data analysis.
Highly motivated and results-oriented junior Python/Django developer with 4 months of experience in building dynamic web applications, managing databases, and integrating payment gateways. Proficient in full-stack development, including responsive UI design (HTML, CSS, Flexbox, Bootstrap) and backend logic with Django. Demonstrated ability in data analysis and visualization using Pandas, NumPy, Matplotlib, Seaborn, Power BI, and Tableau. Eager to leverage strong problem-solving and teamwork skills in a challenging technical environment.
SKIPS UNIVERSITY
MSC.IT - DUALSPECIALIZATION (FULL STACK DEVELOPMENT WITH DATA SCIENCE & AI) · Full Stack Development with Data Science & AI
August 1, 2024 – June 30, 2026
GANPATUNIVERSITY
BSC.IT · Information Technology
August 1, 2021 – June 30, 2024
BRAINYBEAM TECHNOLOGIES PVT. LTD
PYTHON&DJANGO DEVELOPER INTERN
February 1, 2026 – Present
Ahmedabad, Gujarat, India
Dreamland Destination
June 18, 2026 – Present
Dreamland Destination is a Django-based web application designed to provide an easy and user-friendly travel booking platform. It allows users to explore various destinations, view details, and book travel packages online. The system includes features like user authentication, booking management, and payment integration, along with an admin panel to manage destinations, users, and bookings. Key Points: • User-friendly travel booking web application • Admin panel for complete platform management • Destination browsing with detailed information (images, price, description) User dashboard to manage booking • Role-based access control (Admin & User) • Review and rating system for destinations • Payment gateway integration for secure transactions • Responsive UI using HTML, CSS, and modern design techniques • Backend developed using Django with proper database management Conclusion: The Dreamland Destination project successfully demonstrates the development of a full-stack web application using Django. It integrates both frontend and backend technologies to create a functional and user-friendly travel booking platform. Through this project, various important concepts such as authentication, database management, booking systems, and payment integration were implemented effectively.
Online BookStore
June 18, 2026 – Present
The Online Book Store is a Django-based web application that allows users to browse books, manage orders, and perform basic e-commerce operations through a simple and user-friendly interface. Key Points: • Developed using HTML, CSS, JavaScript, Python, and Django User authentication and book management features • Responsive UI using Bootstrap • Backend handling with Django and database integration Conclusion: This project demonstrates practical knowledge of full-stack web development and shows how Django can be used to build a functional e-commerce application with real-world features.
DiwaliSales Data Analysis WebApp
June 18, 2026 – Present
The Diwali Sales Data Analysis Web Application is a Django-based platform that allows users to upload Diwali sales data in CSV format and automatically perform data cleaning, exploratory data analysis (EDA), and basic machine learning analysis. The application visualizes key business insights-such as top customers, best-selling product categories, gender and age-based purchasing trends, state-wise sales performance, and feature correlations-using charts and graphs for easy interpretation. Key Points: • Tech Stack: Python, Django, Pandas, NumPy, Matplotlib, Seaborn, HTML5, CSS3 • Developed an interactive Django-based web app allowing users to upload CSV files for data analysis. • Implemented data cleaning, preprocessing, and exploratory analysis with automated summary reports. • Visualized sales trends, customer demographics, and purchase behavior using Matplotlib & Seaborn. • Added dark mode, responsive UI, and dynamic graphs for improved user experience. • Ensured secure file handling using Django forms, achieving smooth end-to-end analysis workflow. Conclusion: The project successfully converts raw Diwali sales data into clear business insights using Django and Python. It improved my skills in data analysis, visualization, and It proves my ability to build a complete end-to-end data analytics application.
Cultural Fit Analysis
The candidate's projects are diverse within the Django ecosystem, covering e-commerce, travel booking, and data analysis web applications. This breadth, combined with an ongoing Master's degree in Full Stack Development with Data Science & AI, indicates a strong interest in continuous learning and adaptability. The focus on Python and Django aligns well with a 'Python Engineer' target role, suggesting a good cultural fit for teams working with these technologies. However, all projects are personal, which limits insight into collaborative work environments.
Soft Skills & Operational Fit
The candidate lists effective communication, time management, problem-solving, teamwork, and critical thinking as soft skills. The project descriptions indicate an ability to work on end-to-end application development, suggesting a good operational fit for roles requiring independent contribution and project ownership. However, the lack of professional experience beyond an internship means these soft skills are primarily self-assessed or inferred from project completion.