Intern

• Design and develop automated workflows using Microsoft Power Automate to improve business efficiency. 
• Support the development of business applications using Microsoft Power Apps. 
• Create dashboards, reports, and data visualizations using Microsoft Power BI. 
• Assist with the development and enhancement of internal digital portals and user experiences
• Collaborate with cross-functional stakeholders to understand business needs and identify automation opportunities
• Support data preparation, reporting automation, and analytics initiatives using tools such as Python and other digital technologies
• Contribute to continuous improvement projects focused on operational excellence and process optimization
• Explore emerging technologies, including artificial intelligence, Microsoft Copilot, and cloud-based solutions, and support proof-of-concept activities. 
• Integrate solutions across Microsoft 365 applications, including SharePoint, Teams, Outlook, and Excel

Who You Are

• Currently pursuing a B.E. or B.Tech degree and enrolled in the 6th to 8th semester of study. 
• Interest in digital transformation, automation, data analytics, or business process improvement. 
• Exposure to Microsoft technologies such as Power Apps, Power Automate, Power BI, SharePoint Online, or other Microsoft 365 applications
• Foundational knowledge of programming concepts and at least one language such as Python, C/C++, C#, JavaScript, or VBA
• Strong analytical, problem-solving, and communication skills. 
• Ability to work effectively both independently and within global, cross-functional teams
• Attention to detail and a continuous learning mindset

• Academic background in Computer Science, Artificial Intelligence & Machine Learning, Information Technology, Data Science, Electronics & Telecommunication, or a related field
• Experience with Microsoft Azure fundamentals, SQL, data analytics, or dashboard development. 
• Familiarity with HTML, CSS, REST APIs, Git, or GitHub. 
• Understanding of AI/ML concepts, prompt engineering, or generative AI technologies. 
• Experience through academic projects, internships, hackathons, or personal initiatives involving automation or software development.
• Demonstrated curiosity and enthusiasm for learning new technologies and applying them to business challenges.