ANKITA K.

• Developed a document management software from scratch enabling bulk upload and download of multiple file formats (PDF,Word,etc.) through a unified interface.

Key accomplishments include: * Designed and deployed a WhatsApp ChatBot for logistics that reduced customer response times from 3 days to just 1 day, significantly enhancing user satisfaction across the board. * Implemented automated notifications for real-time tracking of deliveries, which increased overall delivery efficiency by 30%, streamlining operations and improving service reliability. * Developed “Team Up,” a platform that connects students with companies for internships, effectively reducing the time spent searching for opportunities by an impressive 70%. * Collaborated in an agile environment using tools like GitHub and Jira to manage project timelines and ensure seamless integration of new features into existing systems. Skills: .NET Development, C#, ASP.NET MVC, SQL Database Management, Automation

Key accomplishments include: * Developed a multi-class classification model utilizing Logistic Regression in R that achieved an impressive accuracy rate exceeding 70%, demonstrating strong analytical and programming skills in data science projects. * Visualized academic progress data effectively, enabling educators to gain actionable insights into student performance trends, ultimately enhancing decision-making processes within the educational framework. * Collaborated with team members to refine model parameters and improve overall accuracy through iterative testing and validation techniques, contributing to a robust learning environment for future projects. Skills: Multi-Class Classification, Logistic Regression, Data Visualization, R Programming

Key accomplishments include: * Developed a multi-class classification model on the Iris dataset that achieved an impressive test accuracy of 86.67%, significantly enhancing data classification capabilities for future projects. * Built a linear regression model for vehicle analysis that attained an R² score of 0.92, demonstrating strong predictive power and providing valuable insights for decision-making processes. * Collaborated with team members to analyze data trends and improve model performance, contributing to a more robust understanding of machine learning applications in real-world scenarios. Skills: Multi-Class Classification, Linear Regression, Predictive Modeling, Data Analysis