• Improved chatbot success rate by 25% through targeted UX research, enabling teachers to more efficiently deliver

tailored learning experiences for students.

• Reduced manual workload by 25+ hours weekly and saved $4.5k/month in operational costs by automating query handling through Salesforce and Twilio API integration.

• Achieved a 5% CTR increase on homepage shopping products by implementing an auto-scrolling carousel,

enhancing user engagement and the number of products viewed.

• Improved development efficiency by building reusable web components, supporting faster implementation across the MSN Shopping platform and enhancing the scalability of new features.

• Built linear regression model in python to accurately predict click through rate for large Kaggle advertisement dataset by 80%.

• Collaborated with team to create a comprehensive research paper on our findings and presented our project to our department at the Undergraduate Research Conference.