• Engineered features such as live tracking, push notifications, and streamlined payment options. • Designed a user-centric UI and integrated diverse APIs to enhance functionality while developing robust backend systems for high traffic loads. • Spearheaded the implementation of advanced security measures, ensuring data privacy and protection against threats

• Utilized Python, Scikit-learn, Pandas, and Matplotlib to deploy a high-performing model with a recall score of 0.97. • Conducted comprehensive testing to ensure system integrity, optimized prediction accuracy, and user-friendly result presentation through visualizations. • Performed rigorous data processing, feature selection, and model development to ensure quality and accuracy. • Developed a web interface to facilitate seamless user interaction with the system.

• Utilized machine learning algorithms on Global Hunger Index data to forecast future hunger trends. • Employed MySQL for data management and integrated Tableau for real-time visualization, aiding decision-making. • Identified literature gaps with innovative methods, enriching understanding of global hunger

• Created ResQlicious, an app connecting users with surplus food from local establishments, aimed at reducing waste and fostering sustainability. • Developed responsive interfaces for both mobile and web applications using React Native and React.js, respectively. • Integrated WebSocket and Push Notifications for instant updates on surplus food items. • Implemented Agile methodologies, conducting frequent code reviews, testing, and updates

• Engineered a RESTful web application leveraging HTML5, CSS3, and JavaScript to create a sleek and intuitive user interface, ensuring cross-browser compatibility and responsive design. • Employed TypeScript to introduce static typing, enabling early error detection and facilitating smoother collaboration within the development team. • Leveraged Node.js to architect a scalable backend system, employing the event-driven architecture for handling concurrent requests efficiently.

• Developed an AI-powered chatbot using Azure Bot Framework Composer and Bot Service, leveraging language understanding for natural language processing and adaptive dialogs for dynamic conversation flows. • Integrated QnA Maker to extract FAQ-style pairs from the knowledge base, enabling the chatbot to provide instant responses to common queries, improving customer service efficiency. • Collaborated with cross-functional teams to gather requirements, design conversational experiences, and iteratively improve the chatbot's functionality, demonstrating strong teamwork and communication skills.