PENIEL RAJASEELAN A

Strategic professional in business operations known for high productivity and efficiency in task completion. Specialize in process optimization, project management, and data analysis, ensuring streamlined workflows and enhanced operational efficacy. Excel in communication, problem-solving, and leadership, leveraging these soft skills to drive team success and achieve organizational goals. Innovative professional in software development, known for productivity and efficiency in completing projects. Possess strong skills in algorithm design, system architecture, and code optimization. Excel in problem-solving, communication, and teamwork, ensuring successful collaboration on complex projects.

Android application development(NSIC), 12/06/23-12/07/23

Introduction to data science(CISCO)

• Tamil
• English

Android App Development, National Small Industries Corporation, 12/06/23 - 12/07/23 "I have successfully completed an internship in Android application development, where I gained hands-on experience in building mobile applications. During this period, I worked with tools like Android Studio and programming languages such as Kotlin and Java. My responsibilities included designing user interfaces, implementing app functionality, debugging, and optimizing performance. Additionally, I utilized Android Jetpack components, followed modern architectural patterns like MVVM, and worked with libraries like Retrofit and Room. This experience enhanced my skills in mobile development and solidified my understanding of the end-to-end Android app development lifecycle."

Malware detection using machine learning 04/07/24 - 04/08/24"I have successfully completed a project on malware detection using machine learning. This project focused on developing a system to identify and classify malicious software by analyzing behavioral patterns and features. I worked with machine learning algorithms to train and evaluate models, processed datasets to extract meaningful features, and implemented techniques for accurate classification of malware. The project enhanced my understanding of cybersecurity, data preprocessing, and the application of machine learning in real-world problem-solving."