- Developed and implemented a robust classification model using Google’s Natural Language API to categorize recorded phone calls, achieving an initial accuracy of 60-70% and a macro-F1 score of 70-80%- Optimized and fine-tuned the model by addressing data discrepancies through relabeling and targeted retraining, which led to a significant improvement in performance metrics, currently hovering around a 98% accuracy- Concluded internship with the model attaining over 90% in both accuracy and macro-F1 scores, showcasing enhanced predictive capabilities- Recognized for contributions and invited to continue working on advanced projects throughout the academic year and subsequent summer

I teach kids ranging from 5-16 either 1 on 1 or small group lessons the fundamentals of tennis to help Perdue their career.

Seasonal business, providing exotic plants to the community

I teach 5 - 17 year olds different math skills where they are lacking, or want to advance themselves in the math department.

- Updated and optimized Google Business profiles listing information, ensuring accuracy and relevance of content to drive increased traffic and engagement- Republished and refreshed listings to maintain up-to-date information, improving user experience- Conducted extensive research on AI chatbot technologies to identify and evaluate tools that enhance website functionality and user engagement- Assessed user needs and website requirements to recommend tailored chatbot functionalities, improving customer interaction and support services