Barath Kumar Ravi Kumar

Having worked in IT support and development for almost three years, currently pursuing a master's degree in cloud computing. Intended to leverage newly acquired knowledge and professional experience to advance professionally in the field of cloud computing through perseverance and teamwork.

Priority based appointment scheduling mobile application for GP

Jun 2023 - Sep 2023

Associated with University of Leicester

• This mobile application, designed for both Android and iOS platforms, serves as a crucial tool for users to efficiently book medical appointments with General Practitioners (GPs). By posing relevant questions to users and utilizing the provided responses to assess the severity of their medical concerns, the application employs an automated system to prioritize and secure the earliest available appointments, ensuring timely and effective healthcare access. This was my dissertation project for MSc Cloud Computing. Additionally, I had hosted this application in Docker using ECS to get a hand-on experience.
• Skills: Docker Products · MongoDB · Express.js · Node.js · React Native · MERN Stack · Amazon Web Services (AWS) · Amazon ECS

BigData predictive analysis

Apr 2023 - May 2023

Associated with University of Leicester

• In this project, I conducted predictive analysis on a Manhattan housing dataset, encompassing data cleaning, exploration, and modeling. I improved a Linear Regression model by handling categorical values and using Random Forest Regressors for feature selection, resulting in enhanced accuracy. Additionally, I applied K-Means clustering for data segmentation, revealing distinct property clusters. This project demonstrates my proficiency in data analysis, feature engineering, and predictive modeling techniques, emphasizing the importance of data cleaning and the inclusion of categorical features for robust predictions.
• Skills: Big Data Analytics · Pandas (Software) · NumPy · Matplotlib · Seaborn · LinearRegression · k-means clustering · python · Jupyter

WhiteBoard application

Dec 2022 - Jan 2023

Associated with University of Leicester

• In this application, a white board application was hosted on four separate EC2 instances within an Elastic Beanstalk environment, orchestrated through a CI/CD pipeline using CodePipeline. The core of our system relies on the Paxos algorithm, enabling efficient and distributed communication between all nodes in a private Virtual Private Cloud (VPC). This setup ensures it satisfies high availability and scalability of the CAP theorem.
• Skills: Amazon Web Services (AWS) · Amazon EC2 · AWS Elastic Beanstalk · AWS CodePipeline · Amazon VPC · Flask · Elastic Load Balancing · Amazon ECS