Portfolio
This project is not deployed due to server and DB maintaince cost.
Best Academic Student 2019 - 2023
Awarded for being the best academic student in the batch of 2019 - 2023 at Kongu Engineering College, Tamilnadu.
Contact
About
About Me.
Interactive Fullstack developer
I am Raveen, a talented Fullstack Web and Mobile developer with a passion for building innovative ideas using cutting-edge web and mobile technologies. With 2 years of experience, I excel in creating unique solutions, solving complex problems, and addressing critical bugs.I am actively seeking for a Full Time Opportunity.
Maersk Global Services Private Limited
May 2022 - Present
Engaged in the "Fleet Energy" project, emphasizing the optimization of fuel utilization in ships through data analysis obtained from the ship's engine. Contributed to improving fuel efficiency by leveraging data-driven insights to identify areas for optimization and implement measures to enhance fuel consumption management in the maritime industry.
Tech-stacks Used
ReactJs
Typescript
FastAPI
Pandas
Python
PostgreSQL
RedisDB
GIT
GitHub Actions
Docker
Kubernetes
Nginx
Azure
Grafana
Work done:
- Developed a robust syncing mechanism that effectively synchronizes missed vessel reports, significantly enhancing the accuracy of the analysis performed. This implementation ensures that all relevant data is accurately captured and integrated into the analysis process, resulting in more precise and reliable insights.
- Implemented deep linking functionality in the application, enabling the pre-application of filters when navigating through a link. This feature ensures a seamless user experience by automatically applying specific filters or configurations based on the provided deep link, simplifying user interactions and improving usability.
- Achieved enhanced database security by implementing user authentication and role-based access control. By creating new user accounts and assigning specific roles, the database was fortified against unauthorized access, ensuring data integrity and confidentiality.
- Leveraged Pandas to handle and analyze massive datasets, employing powerful data manipulation techniques. Utilized the processed data to generate interactive graphs and tables in the front-end, providing insightful visualizations for effective data representation and analysis.
- Implemented Tanstack Table with virtualized rows, improving front-end performance and receiving accolades from users and fellow developers.
- Implemented E-chart library to develop a synchronized scrollable chart, enabling seamless scrolling and synchronization across multiple charts. This implementation enhanced the visual representation and analysis of data, offering users a synchronized and interactive charting experience.
- Developed an advanced search feature that incorporates real-time suggestions as users type in the search bar. This implementation enables users to receive instant suggestions and refine their search queries on the fly, enhancing the search experience and providing more accurate and relevant results.
- Implemented interactive in-app tours to assist new users in understanding and navigating the application. These tours provide step-by-step guidance, enabling users to quickly grasp the application's features and maximize their overall user experience.