As a Machine Learning Data Associate at Amazon, I significantly enhanced Alexa AI's performance and security through advanced data analytics and machine learning techniques.Key Achievements: Data Analytics and Performance: Led data creation and analytics using Python, focusing on database management and data interpretation. Improved Alexa AI's system performance by 20% by enhancing response accuracy and strategic data extraction. Applied Random Forest, K-Means Clustering, and Linear Regression to refine data models. Machine Learning and Data Security: Implemented machine learning and data analytics trends to improve Alexa AI capabilities. Reduced data breaches by 30% through robust data security measures. Used Decision Trees and SVM for anomaly detection and maintaining data integrity. Team Mentorship and Training: Mentored new team members in Python and data analysis, fostering collaboration and continuous learning. Increased team efficiency by 25% and reduced onboarding time by 40%. Conducted training on ML algorithms such as Logistic Regression, XGBoost, and Neural Networks.Technical Skills: Python Machine Learning: Random Forest, K-Means Clustering, Linear Regression, Decision Trees, SVM, Logistic Regression, XGBoost, Neural Networks Data Management and Security

Full Stack Development: Designed and built responsive, dynamic applications, integrating: Front-end technologies: HTML, CSS, JavaScript, React for interactive user interfaces. Back-end technologies: Node.js, Express for robust server-side logic. Database management: Skilled in MongoDB and MySQL to handle diverse data storage needs. Deployment & Hosting: Managed projects on AWS and utilized Docker for efficient, scalable deployment.Mobile Application Development: Developed and maintained versatile cross-platform mobile applications using: Flutter and Dart for cohesive UI and backend logic. React Native for flexible JavaScript-based apps. Swift for advanced native iOS application development.Database Architecture: Architected and managed robust databases, utilizing: Firebase for real-time functionalities. MongoDB for scalable NoSQL storage solutions. MySQL for comprehensive relational database management.Agile Project Management: Led project management using Agile methodologies to ensure efficient workflow and timely delivery of projects, focusing on continuous integration and quality assurance.