I'm currently pursuing my Master of Computer Science at North Carolina State University, with a keen interest in Neural Networks, Deep Learning, and Software Engineering. With a solid foundation in Artificial Intelligence from my undergraduate studies, I'm passionate about leveraging technology to solve complex problems and make a meaningful impact.
- Conducted data analysis and developed a program website for professional development training.
- Developed an anomaly detection system using Python, Jupyter Notebooks, and LSTM neural networks.
- Led the development of loan management applications and automated workflows using Pega's low-code platform.
- Conducted EDA and developed machine learning models, improving predictive model accuracy by 35%.
- Developed a comprehensive event management system using Ruby on Rails, enhancing user engagement by 25%.
- Developed an advanced anomaly detection system using Python, LSTM, and GraphQL for monitoring water treatment facility data.
- Developed a genomic pan-cancer classification system using image-based deep learning with Inception-ResNet-v2, incorporating mutation map construction and Guided Grad-CAM visualization for enhanced model interpretability.
- Secured the 13th position in a Coding Competition with Code Chef.
- Achieved 7th place in the Data Hack Hours Hackathon, highlighting my data analysis skills.
I'm always looking to collaborate on projects that are at the intersection of technology and social impact. Feel free to reach out if you're interested in working together or just want to connect!
- Email: atoorpu@ncsu.edu
- LinkedIn: