Machine Learning Data Analysis

AKHILSAI CHITTIPOLU

linkedin.com/akhilsai-chittipolu *******@****.*** +1-919-***-****

EDUCATION

• North Carolina State University - Master of Computer Science - 4.00/4.00 Aug 2023 - May 2025 Coursework: Data Analysis & Algorithms, Software Engineering, Database Management Systems, Com- puter Networks, Neural Networks and Deep Learning, Object-Oriented Design and Development, Automated Learning and Data Analysis, Privacy in the Digital Age, Human-Computer Interaction.

• VNRVJIET - Bachelor of Technology, Information Technology - 9.00/10.00 Jun 2018 - May 2022 TECHNICAL SKILLS

• Programming/ Scripting Languages: Python, C++, Java, Javascript, C#, Ruby, C, R, Linux.

• Web Technologies: Angular, HTML, CSS, Bootstrap, ASP.NET, GIT, Ruby on Rails.

• Databases and Tools: MySQL, Microsoft SQL, Toad, Oracle Databases.

• DataScience Platforms& Frameworks: Machine Learning, Data Analytics, Tkinter, Pandas, NumPy.

• Cloud Technologies: AWS Cloud - Elastic Beanstalk, Redis, Lambda, RDS, SQS, CloudWatch. WORK EXPERIENCE

IT Application Developer at State Street, Hyderabad, Telangana, India Jul 2022 - Aug 2023

• Developed a web application named the FAR (Fund and Asset Reporting) application, dedicated to collecting asset data for serviced clients at the fund level, ensuring data integrity and streamlined reporting processes.

• Enhanced the user interface (UI) of the FAR development website using ASP.NET, resulting in a 20% increase in customer satisfaction and a 15% decrease in end-user support inquiries. Delivered a more intuitive, user- centric experience, significantly enhancing client engagement and usability.

• Actively contributed in optimizing C# code to improve communication between the front-end and back-end databases, achieving a 30% boost in data access efficiency and enhancing overall application performance.

• Modified the web database of the FAR Database using Microsoft SQL, resulting in a 25% reduction in data retrieval times and a 10% improvement in overall database efficiency to better meet the project requirements. This involved adapting the database structure and data to align with the evolving needs of the application.

• Utilized tools such as Microsoft Visual Studio Code, Microsoft SQL Server Management Studio, and Git

(source control) to optimize daily development tasks, enhancing code quality and version control efficiency. Software Intern at State Street, Hyderabad, Telangana, India Jan 2022 - Jun 2022

• Gained extensive hands-on experience with Oracle E-Business Suite (EBS), PL/SQL development, and Oracle RAC databases, optimizing SQL queries using tools like Toad. Achieved a 15% boost in query efficiency and a 10% reduction in execution time, significantly enhancing database performance, scalability, and reliability.

• Proactively contributed to a high-performing CI/CD Kanban environment, driving impactful feature devel- opment and efficient bug resolution within an Agile Scrum framework to ensure continuous improvement. PROJECTS

Full-Stack Web Application Development (Daily To-Do List Manager)

• Engineered a full-stack task management application using Spring Boot for backend services and Angular for UI, ensuring smooth data flow and real-time task updates with offline support through local storage.

• Designed and implemented key features for task creation, editing, deletion, and priority-based scheduling for improving user productivity and marking tasks as complete to help users stay organized.

• Used a SQL database to store tasks, track status, and ensure data is secure and accessible when needed. Frontend Web Application Development (Enhancing Education System)

• Implemented secure user authentication, data visualization, and CRUD operations to manage student data efficiently, reducing manual errors and improving accessibility across devices. The solution is cost-effective, scalable, and aimed at simplifying administrative tasks and facilitating targeted skill improvement.

• Built the frontend with Angular for component-based architecture, JavaScript for core functionality, and Bootstrap for a responsive UI, ensuring seamless cross-device compatibility and improved user experience. Machine Learning using K-Means Routing Mechanism (Malaria Parasites Classification)

• Developed an innovative Compositional Coding Capsule Neural Networks with K-Means Routing Mechanism for Malaria Parasites Classification, advancing the state-of-the-art in disease diagnosis. Database Management (Vehicle Parking Management System)

• Led the development of Wolf Parking Management System, a parking management application on the NCSU DB server, enhancing operational efficiency with features like parking lot management, permit handling, and citation issuance using Java, JDBC, and a BCNF-compliant database schema for robust data integrity.

• Utilized SQL transaction management and error-handling mechanisms to maintain data consistency during permit updates, citation generation, and appeal handling, greatly improving the system’s performance.

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