Mahaboob Danish Basha Karur

Built RESTful APIs for movie product management using Flask, implementing CRUD operations and ensuring scalability for large datasets.

Transformed project management practices by implementing Scrum and Kanban frameworks. Utilized Jira for task tracking and Slack for communication, resulting in significant improvements in project delivery times.

Implemented machine learning algorithms for lung cancer prediction, achieving over 85% accuracy. Employed PCA for feature reduction and fine-tuned models for enhanced detection precision.

Created a secure Flask backend for user authentication, integrating with local databases. Conducted over 100 API tests and 50+ penetration tests to ensure security and performance under load.

Developed a full-stack solution for dynamic question generation using React.js and Flask. Implemented AI-driven classification achieving 90% accuracy. Conducted API testing with Postman ensuring functional accuracy.

Developed prototypes for sentiment analysis using Python and machine learning. Led automation initiatives with APIs and Selenium, enhancing testing protocols and deployment processes. Managed technical documentation as a Subject Matter Expert, improving decision-making precision by 20%.

Worked on the Kindle e-book team to address code deviations and implement enhancements. Specialized in device management, optimizing workflows to reduce errors by 45% and improve customer satisfaction ratings.

Grade: 3.18

Pursuing a Master of Engineering in Quality Systems Engineering, focusing on enhancing quality management processes and systems.

Grade: 8.47

Completed a Bachelor of Technology in Computer Science, gaining foundational knowledge in software development and engineering principles.