As a Full-Stack Web Development Intern at Prodigy InfoTech, I have the opportunity to gain hands-on experience and develop valuable skills that prepared me for my future career. The program was designed to challenge me, support my growth, and provide me with a meaningful and rewarding experience.

Develop algorithms and tools for analyzing large datasets of energy consumption data using Python libraries suchas pandas, matplotlib, and seaborn.• Design and implement software systems to automate energy accounting processes, integrating energy monitoringdevices and data acquisition systems with backend databases (MySQL, PostgreSQL).• Collaborate with energy management teams to develop and maintain scalable web applications using frameworkslike Django or Flask for backend development and React or Angular for frontend interfaces.• Implement machine learning models for predictive analytics and develop APIs for real-time data retrieval andanalysis to support decision-making for efficiency improvements.• Visualize energy consumption insights through interactive dashboards and reports, enabling stakeholders to makeinformed decisions on energy usage optimization and compliance reporting.

Analyze machine data and performance metrics to develop data-driven maintenance strategies using softwaretools and platforms.• Design and implement condition monitoring software solutions to predict equipment failures and optimizemaintenance schedules.• Collaborate with data scientists and engineers to integrate predictive analytics models into maintenance practices,enhancing equipment reliability and reducing operational costs.

Learn and apply software engineering principles to optimize foundry operations through digital solutions.• Assist in the development and implementation of IoT (Internet of Things) devices and sensors to monitor andcontrol foundry equipment.• Collaborate with senior engineers to analyze data from production processes and identify opportunities forautomation and efficiency improvements.