Ananya Menon
872-***-**** ************@*****.*** linkedin.com/in/ananya-m-menon github.com/AnanyaMMenon Education
Illinois Institute of Technology Chicago, IL
Master of Computer Science May 2025
Dayanand Sagar University Bangalore, India
Bachelor of Technology, Electronics and Communication Jun 2021 Technical Skills
Programming Languages: C#, C/C++, Java, Python, SQL, Dart, Javascript, Typescript Frameworks: ASP.NET MVC Framework, ASP.NET WEB API, Flask, Angular, Entity Framework Core, React,Flutter Developer Tools: Microsoft Azure, DevOps, Git, ServiceNow, SQL Server Management Studio Certifications: Microsoft Certified Azure DevOps Engineer Expert, Microsoft Certified Azure Developer Associate, Microsoft Certified Azure Data Engineer Associate
Experience
SOFTWARE ENGINEER INTERN JUNE 2024 – PRESENT
CDK GLOBAL Chicago,IL
• Collaborated with the ELead team to enhance ASP.NET MVC applications, resolving 50+ issues and reducing support tickets by 30%, benefiting over 1,000 dealerships nationwide
• Implemented a link visibility redirect feature for links accessed from external emails using REACT and JavaScript, improving email tracking efficiency by 25%.
• Developed and implemented comprehensive unit tests to ensure full coverage and reliability of various backend services using MSTest and dependency injection in a .NET environment SENIOR CLOUD ENGINEER Sept 2021 – July 2023
LTIMindtree Bangalore, IN
• Developed and deployed 20+ web applications with Client Chevron using Azure PaaS Services while maintaining application servers, databases, and other resources.
• Investigated root causes for problems that the vendor team had raised, increasing the team performance rate by 40%
• Designed an ASP.NET application that automated weekly load of data, saving over 40 hours of manual work GRADUATE ENGINEER TRAINEE JUNE 2021 – SEPT 2021
LTIMindtree Bangalore, IN
• Managed a team of 5 people to create an ASP.NET, Angular web application with CRUD and REST API for an in-house online bus reservation system
• Received positive user feedback with a 20% increase in customer satisfaction scores due to the efficient ticket purchase process
DATA ANALYST INTERN Jun 2019 – July 2019
Daily Ninja Bangalore, IN
• Built a data pipeline to utilize Python and Excel to acquire, prepare, and cleanse large datasets, resulting in a 35% improvement in data accuracy and reliability
• Implemented automation scripts in Python to streamline data preparation tasks, reducing manual effort by 25% and increasing team productivity
Pubilcations
Flask Based Web App on Diabetes Prediction Using Machine Learning Dec 2021
• Developed a comparative study of different classification algorithms models on the Diabetes Dataset to predict if the user has Diabetes and subsequently made a flask-based web app deployed on Heroku
• Resulted in proof that random forests are efficient and provide better accuracy of 81.168%
• Journal:Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, Lecture Notes in Networks and Systems 237
• Link:Flask Based Web App on Diabetes Prediction Using Machine Learning