A Python-based workflow for processing structured data and generating visual insights.
This repository serves as a public portfolio for my data processing engine. It demonstrates my ability to take complex JSON data and transform it into clear, professional visualizations using Python. This project highlights my dual interest in technical implementation and clear communication.
- Programming: Python-driven data manipulation using Pandas.
- Data Structures: Implementation of logic based on Algorithms and DBMS concepts.
- Visualization: High-fidelity plotting using Seaborn and Matplotlib.
- AI/ML: Integration of concepts like Machine Learning and model analytics.
The following chart was generated by the private source code to visualize time distribution across technical domains:
- First Prize Winner: Article Writing Competition organized by IEEE SIGHT AG JECC.
- I specialize in bridging the gap between complex code and readable documentation.
Technologies: Python, Google Calendar API, JSON
In addition to data visualization, I developed a functional backend script to automate campus event management.
- API Integration: Successfully implemented Google Calendar API for automated event scheduling.
- Secure Data Handling: Managed OAuth2 flows and secure token storage locally.
- Automation: Streamlined the process of turning event lists into calendar invites.
Here its is,
College fests and workshops are often missed because students don't see the physical posters, leading to missed opportunities for networking and career growth.
I built a "One-Tap" Campus Event Hub using Python. This tool bridges the gap between event organizers and students by:
- Automating event scheduling via the Google Calendar API.
- Providing a centralized hub for all campus workshops and fests.
- Reducing the reliance on physical posters and ensuring real-time updates.