Sneh Patel Email and Phone Number

Led the development of an inventory app for the temple featuring a comprehensive reporting systems, a scalable user management system, with Azure service integration.• Collaborated with temple staff to customize the application to their specific needs.• Developed and deployed a scalable user management system, streamlining administrative tasks.• Integrated the application with Azure services, reducing hosting costs and improving database management efficiency.• Implemented a responsive front-end UI to enhance user experience across different devices.• Designed and implemented a comprehensive reporting system to facilitate item reporting by volunteers and approval byadmins, ensuring efficient tracking and management of inventory processes.• Crafted a front-end UI that seamlessly adjusts to diverse screen sizes, ensuring a versatile and user-friendly interface.• Deployed the application on Azure and integrated it with the Azure Database system for streamlined hosting and efficient database management.

Led the development of an inventory app for the temple featuring a comprehensive reporting systems, a scalable user management system, with Azure service integration.• Collaborated with temple staff to customize the application to their specific needs.• Developed and deployed a scalable user management system, streamlining administrative tasks.• Integrated the application with Azure services, reducing hosting costs and improving database management efficiency.• Implemented a responsive front-end UI to enhance user experience across different devices.• Designed and implemented a comprehensive reporting system to facilitate item reporting by volunteers and approval by admins, ensuring efficient tracking and management of inventory processes.

Enhanced transportation management through the seamless integration of machine learning models for real-time vehicle detection, accurate prediction of roads in need of maintenance, supported by Power BI for comprehensive reporting and informed decision-making.• Collaborated with a team of developers to seamlessly integrate a trained Convolutional Neural Network model into an existing application, achieving real-time vehicle detection on highways with a 95% accuracy rate.• Conducted thorough data analysis and research to develop highly accurate prediction models for identifying roads in need of maintenance.• Implemented innovative algorithms and techniques to enhance script flexibility, facilitating seamless integration with various data sources and formats.• Utilized Power BI to create comprehensive reports, enabling data-driven decision-making processes and providing valuable insights for informed decision-making in various aspects of transportation management.

Innovated a method to automate the task of finding latency outliers in system-level traces. The methodology garnered a positive reception at the conference and was subsequently published in a journal, highlighting its impactful contribution to the scientific community.• Presented findings from the research paper at an international conference, where the positive feedback received validated the importance and impact of the research in the field.• Developed and implemented an automated system to identify latency outliers in system-level traces, addressing a critical need for efficient analysis in complex systems, resulting in a 75% reduction in manual analysis time.• Used DBSCAN and OPTICS algorithms to cluster graphs and identify outliers, pinpointing bottlenecks within the system• Developed an innovative analysis tool automating the comparison of diverse outliers, revolutionizing the data processing approach and leading to a significant 90% reduction in manual processing time.• Published the research paper in a journal, solidifying its contribution to the academic community.

Developed the mobile application KC2020 for a camp, integrating data analysis tools for activity tracking, a unified code base for stability, advanced authentication features for secure access, and a user-friendly interface for optimal usability by campers and volunteers.• Implemented data analysis tools to generate comprehensive reports on camper activity levels, providing valuable insights for program offerings and staffing decisions.• Developed and implemented a unified code base for streamlined development, enhancing stability and reducing coding errors by 35%.• Utilized AWS micro-services architecture to create an advanced user authentication feature for the mobile application, resulting in a 30% decrease in login errors and ensuring secure user access.• Maintained industry-standard practices in writing code to ensure code quality and sustainability throughout the development process.• Designed the app’s user interface with a focus on user experience, ensuring intuitive navigation and optimal usability for campers and volunteers.