Vishal Kanakamamidi

- I have experience working with Angular to develop web pages within an agile development environment.
- Developed and maintained a bereavement page for the HSBC project, contributing to the enhancement of user experience and information accessibility.
- Utilized Angular to create a responsive and user-friendly web application with a focus on performance optimization. - Collaborated with a cross-functional team, including designers and fellow developers, to ensure seamless integration of UI/UX design and functionality.
- Managed tasks and project progress efficiently using Jira, including sprint planning, task creation, and Jira dashboard utilization and followed Agile methodologies, participated in daily stand-up meetings, sprint planning, and retrospectives, ensuring project alignment with client requirements.
- Implemented Git for version control, facilitating collaborative development and code management.
- Engaged in client communication, gathering project requirements, providing updates, and addressing client feedback.

"KnowMovies" - Movie Information Website

- Developed and launched a full-stack movie information website, "KnowMovies," designed for users to explore movie details.

- Implemented a responsive user interface using React and CSS, providing an intuitive and engaging experience for visitors.

- Built the backend using Node.js and Express.js to handle requests, manage user authentication, and interact with the MongoDB database.

- Integrated MongoDB as the NoSQL database to store and retrieve all movie-related data, enabling efficient data management. Implemented CRUD (Create, Read, Update, Delete) functionalities for administrators, allowing them to manage movie information dynamically.

As part of the data analysis projects, conducted meticulous data cleaning and preprocessing to improve model accuracy, implemented a diverse set of machine learning models—including Decision Trees, Logistic Regression, and Random Forest Classifier—for comprehensive training and testing, and utilized Tableau to craft insightful visualizations, effectively presenting key findings and model predictions.

"Heart Attack Prediction"

* Utilized machine learning techniques to predict the likelihood of heart attacks based on a set of health-related features.

* Achieved an accuracy rate of 92%.

"Credit Card Approval Prediction"

* Analyzed and processed credit-related data to predict the approval or rejection of credit card applications.

* Achieved an accuracy rate of 96%.