C# Information Security

VENKATA MAHESH BABU KORRAPATI

+1-616-***-**** ********@****.****.*** LinkedIn: Venkata Mahesh Korrapati LinkedIn GitHub : Mahe19sh (github.com) EDUCATION

Grand Valley State University, Grand Rapids, MI Aug 2022 – April 2024 Master of Science in Applied Computer Science

Related Courses: System Analysis & Design, Introduction to Software Engineering, Information Security Principles, Information Management and Science, Cloud Application Development, Fundamentals of Software Practice (Python), Requirements Specification, Principles of Database Design, Information Visualization, Distributed Systems Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India Bachelor’s in Electrical and Electronics Engineering Aug 2017 – Aug 2021 TECHNICAL SKILLS

BACK-END DEVELOPMENT: Python, Java, C#, Django, Java collections, Data structures and Algorithms. Databases: MySQL, MongoDB, PostgreSQL

Tools and cloud technologies: Amazon Web Services, Google Cloud, JIRA Web Technologies: HTML5, CSS, JavaScript, ReactJS

WORK EXPERIENCE

ITC Infotech, Pune, Maharashtra, India Jan 2022 – April 2022 Associate IT Consultant

• Leveraged Delmia Apriso to streamline Manufacturing Execution Systems, enhancing operational efficiency by 15%.

• Optimized the Delmia Apriso software according to the client business requirements.

• Implemented .NET frameworks ASP.NET and ADO.NET, alongside C#, HTML, CSS, and JavaScript, to develop robust MES solutions.

• Contributed to cross-functional teams, optimizing manufacturing processes and achieving significant cost savings. GVSU Parking services and GVSU laker food co (Part time) Aug 2022 – Jan 2024 Compliance staff, booth attendant, Clerical assistant

• Worked as a clerical assistant in maintaining customer service and understanding the inventory database and software for efficient billing without errors in laker food company GVSU.

• Compliance staff and booth attendant in GVSU parking services responsible in assisting all the individuals of GVSU in different domains (students, faculty, guests, etc.) in maintain their parking permits and spots according to the rules and regulations of college.

PROJECTS

Online Automotive Dealership System

• This online car dealership system aims to provide a platform for customers to buy, sell, and test drive cars. The system is designed to make the process of car management and order fulfillment more efficient for both customers and the dealership. The system's main features include car management, order management, and test drive management. The system also includes a login and dashboard module for admin use.

• To develop this system, HTML and CSS were used to design the page layout, while JavaScript was used for validation tasks and animations. Python was used for implementing the business logic, and MySQL database was used as the database for the project. The system was developed over the Django Framework. AWS services are used to host the application components.

• The purpose of this project is to create a user-friendly and efficient online platform that streamlines the car buying and selling process.

IPL Data Visualization

• Performed data analysis and visualization on Indian Premier League (IPL) data to provide insights for sports analysts, trackers, team management, investors, and cricket enthusiasts to predict trends and performance of teams and players.

• Utilized the publicly available "IPL 2008 to 2022 All Match Dataset" from Kaggle to analyze and predict trends for each IPL team annually under various conditions. Using Tableau as our data visualization tool, we created interactive and dynamic dashboards incorporating line charts, bar charts, time series plots, tree maps, and pie charts to extract interesting patterns and predictions from the dataset.

• The project's results offer valuable insights for a diverse audience, including cricket fans, investors, coaches, team captains, managers, sports reporters, analysts, and strategists, providing a basis for potential predictions and strategic decisions related to the IPL tournament.

Small scale inventory application

• Developed an application for a single store to view the inventory in an organized way to customers without worrying about coming and checking for the products they want.

• Built with the help of ReactJS and for platform independent.

• The store ownership can maintain all the information of each product efficiently manage without concerning of information loss.

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