Soham Vaidya

• Developed a real-time Weather Application as a SharePoint Framework web part using TypeScript and JavaScript, enhancing user access to weather data. • Created XML provisioning templates to automate SharePoint list setup, ensuring consistent configurations across environments. • Performed manual testing and documented test cases to validate functionality and UI responsiveness of SharePoint applications.

• Developed a Power BI dashboard to monitor financial metrics, enhancing business insights. • Analyzed e-commerce sales in Excel to identify trends and inform decisions. • Used Python to analyze employee and customer data, improving retention and marketing.

• Developed a Daily Day Planner web application using Django, implementing a secure user authentication system with Django's built-in authentication framework to manage user logins. • Created a to-do list feature within the planner, utilizing Django Models and Forms, allowing users to add, update, and delete tasks, with real-time data updates in the user interface. • Integrated a weather application using a Weather API, allowing users to access current weather information within the planner.

• Developed an Android application using Android Studio, Java, and iText library, enabling automated generation and storage of customer contracts in fillable PDFs on the admin's mobile device. • Implemented a secure login system with authentication, ensuring that only authorized admins can access and manage sensitive customer data within the app.

• Created a Student Management System using Java SE 14, with a user interface built on Swings, enabling admins to input and manage student data, including roll numbers, names, and grades. • Utilized Hibernate Framework for ORM with Oracle Database to persist student data, ensuring seamless CRUD operations and data integrity across the application. • Integrated JFreeCharts for the visualization of student performance, allowing the application to display the top 5 student scores in a bar chart format.

• Developed a Student Management System using Python 3.x, integrating tkinter for a responsive GUI, and SQLite3 for storing student data such as roll numbers, names, and grades using PDBC. • Implemented a feature to dynamically generate bar charts using Matplotlib, visualizing the top 5 student scores directly within the application’s GUI for easy performance analysis. • Optimized data handling within the system by implementing efficient querying and data retrieval mechanisms in SQLite3.

Grade: 1.7 Conducted a comparative analysis of traditional and few-shot learning models for medical image classification as a master's thesis focusing on improving accuracy and efficiency in medical diagnostics through advanced AI techniques.

Grade: 7.46/10 CGPA Developed and published a Face Mask Detection Alert System as a capstone project and research using machine learning and Raspberry Pi, designed to identify individuals not wearing masks, trigger real-time alerts, and provide monitoring through images and video. The system utilizes a CNN model and Python-based GUI to detect violations, sends email alerts with screenshots, and stores evidence locally, enhancing public health safety during the COVID-19 pandemic.

Grade: 7.46/10 CGPA Developed and published a Face Mask Detection Alert System as a capstone project and research using machine learning and Raspberry Pi, designed to identify individuals not wearing masks, trigger real-time alerts, and provide monitoring through images and video. The system utilizes a CNN model and Python-based GUI to detect violations, sends email alerts with screenshots, and stores evidence locally, enhancing public health safety during the COVID-19 pandemic.