WHY ME?

Innovative Development Expert

In a world constantly evolving with technology, I, Nitya Naga Sai Atluri, stand at the forefront as a beacon of innovation and expertise. My journey in the realm of computer science, rooted in the prestigious North Carolina State University, has been a blend of academic rigor and practical application. With a master's degree specializing in Artificial Intelligence, I have honed my skills in a diverse array of technologies and methodologies. My foray into the professional world is marked by a Tensorflow Developer Certification, a testament to my proficiency in one of the leading AI frameworks. My expertise is not just limited to AI; I have delved deeply into full-stack development, data science, and database management, particularly MySQL. The projects I have undertaken, like the Heart Disease Prediction web application, showcase my ability to analyze complex data sets and develop user-centric solutions. But my skills extend beyond technical prowess. As a Full Stack Developer for various projects, I have demonstrated my capacity to handle end-to-end development, ensuring that every layer of a project is executed to perfection. My experiences in leadership roles, such as the Marketing Manager for Mayavi and a Peer Mentor, highlight my ability to guide, inspire, and lead teams towards achieving collective goals. With a fusion of technical skills in AI, data science, full-stack development, and my collaborative spirit, I am poised to contribute significantly to any team, driving innovation and excellence in the ever-evolving landscape of technology.

Projects

Mental Health Health Insights

In my role in the "Predictive Mental Health Insights" project, I focused on enhancing the accuracy of predictive models. I led the development of K-Nearest Neighbors and Logistic Regression models, ensuring their precision for mental health predictions. My work involved extensive exploratory data analysis and data visualization, which was pivotal in evaluating and comparing the performance of these models. This project was a significant step in advancing predictive analytics in the field of mental health.

My Gov

Utilizing the Spring Boot framework, I developed an interactive web application to bridge communication between government officials and citizens, aiming to ensure effective transmission of citizens' issues to authorities. The platform includes features for tracking problem status and categorizing issues by geographic regions, enhancing its overall functionality and user experience.

Slash - One Comparision

Slash is a comprehensive tool that aggregates the best deals from top e-commerce sites. My role encompassed front-end development, improving web scraping capabilities, and expanding the test case suite, Adding on more features , ensuring a seamless, efficient user experience and accurate, up-to-date deal information.

Heart Disease Prediction

I delved into the "Framingham" heart disease dataset, comprising over 4,240 records, using advanced machine learning models. I specifically implemented the K-Nearest Neighbors (KNN) algorithm to accurately predict the risk of coronary heart disease (CHD) in patients within the next 10 years, achieving an impressive 89% accuracy. Additionally, I developed a user-friendly web application for hospital staff, enabling them to easily determine a patient's CHD risk from their health reports.

Tycoon

I developed a web application for entrepreneurs to showcase businesses and attract investors, akin to Investopedia. My role included integrating business news, offering courses for entrepreneurial growth, and introducing an advisor chat for global professional connections, enriching the platform's value and functionality.

Cargo Management System

In my "Cargo Management System" project, I developed an online application to streamline cargo management using the MEAN Stack. This system, featuring an Angular-based frontend and MongoDB backend, provides an efficient platform for controlling cargo supplements, enhancing operational efficiency and user experience in cargo handling and management.

Contact

You can contact me by email nityanagasai@gmail.com