Pranav Sanjay M

< 1 year of work experience

Feb 20265 mosPresent

Banglore

During my internship at MindMatrix, I worked on Android App Development with a focus on integrating Generative AI technologies into mobile applications. This experience allowed me to explore how artificial intelligence can enhance mobile app functionality, user interaction, and intelligent automation. I contributed to the development of Android-based applications by implementing features that leverage Generative AI to improve user experience and create smarter digital solutions. Throughout the internship, I gained hands-on experience in designing, developing, and optimizing mobile applications while understanding how AI-driven systems can be integrated into real-world software products. This internship strengthened my skills in problem-solving, software development, and AI integration, while also improving my ability to work in a professional development environment. It provided valuable exposure to emerging technologies and practical industry workflows in Android application development. Key Learning Areas: • Android Application Development • Generative AI Integration in Mobile Applications • Mobile UI/UX Implementation • AI-powered Feature Development • Software Development Practices and Collaboration

Feb 20264 mosMay 2026

Developed a Generative AI-powered Android application using Kotlin and Android Studio, enabling intelligent content generation, automated responses, and smart user interactions. Integrated Google Gemini API via Retrofit for real-time AI-powered responses, implementing efficient asynchronous data handling with error management and loading states. Built scalable app architecture following MVVM design pattern with LiveData and ViewModel, ensuring clean code structure and maintainability.

Mar 20262 mosApr 2026

Analyzed 15,000+ records of sales, inventory, and customer data across Apparel/Fashion and E-Commerce domains using Advanced Excel, SQL, and Python (Pandas), delivering actionable business insights. Built interactive Power BI dashboards with DAX measures and dynamic filters, enabling stakeholders to track revenue KPIs, inventory turnover, and customer retention in real-time. Identified seasonal purchasing trends and customer segmentation patterns through EDA, providing recommendations that contributed to inventory optimization and revenue growth strategy.

Mar 20262 mosApr 2026

Analyzed sales, inventory, and customer data using Advanced Excel, SQL, and Python (Pandas) to identify trends and generate actionable business insights. Built Power BI dashboards and reports while cleaning and transforming raw datasets to improve data accuracy, track key KPIs, and support decision-making.