CS graduate who turns raw data into decisions and code into scalable solutions. Bridging analytical depth with creative problem-solving.
Detail-oriented Computer Science graduate with a strong background in data analysis, programming, and problem-solving. I have a deep appreciation for how structured data can surface meaningful patterns and actionable insights.
I'm passionate about applying technology to solve real-world problems — whether that means building a machine learning pipeline, architecting a web app, or translating messy datasets into clear narratives. I thrive at the intersection of rigorous engineering and creative thinking.
Built an image-based emotion classification system using deep learning. Performed extensive data preprocessing and model evaluation to achieve improved prediction accuracy across multiple emotion classes.
Analyzed historical weather datasets to identify seasonal trends and anomalies. Implemented and compared multiple predictive models, evaluating each on accuracy and generalization performance.
Designed and developed a role-based web application for managing student attendance records. Streamlined administrative workflows, reducing manual effort significantly through thoughtful UX and digitized processes.