Passionate about leveraging artificial intelligence and data science to solve complex business problems and drive innovation.
I'm a senior at Stanford University pursuing a dual degree in Computer Science and Business Administration with a focus on Artificial Intelligence and Data Analytics. My interdisciplinary background allows me to bridge the gap between technical innovation and business strategy.
My passion lies in developing intelligent systems that can transform industries. I'm particularly interested in machine learning applications for business optimization, predictive analytics, and natural language processing.
Built a clustering algorithm that segments e-commerce customers into 5 distinct groups based on purchasing behavior, increasing marketing campaign ROI by 32%.
Created a CNN model that analyzes medical images to detect early signs of diabetic retinopathy with 92% accuracy, assisting doctors in diagnosis.
Google Brain
June 2023 - Present
Mountain View, CA
McKinsey & Company
May 2022 - August 2022
New York, NY
OpenAI
June 2021 - August 2021
San Francisco, CA
B.S. Computer Science & B.A. Business Administration
Expected Graduation: May 2024
GPA: 3.92/4.00
Honors: Phi Beta Kappa, Tau Beta Pi
Relevant Coursework: Deep Learning, Advanced Algorithms, Data Mining, Business Analytics, Financial Markets
Organized hackathons, speaker series, and workshops with industry leaders from Google, OpenAI, and NVIDIA.
Led student group applying data science to nonprofit challenges, partnering with 5 local organizations.
1st place in 2023 McKinsey Analytics Case Competition with solution for optimizing supply chain using ML.
TA for Machine Learning (CS229) and Introduction to Business Analytics courses.
I'm currently looking for full-time opportunities in AI/ML engineering, data science, or technology consulting after graduation in May 2024. Feel free to reach out if you'd like to discuss potential collaborations, job opportunities, or just chat about the latest in AI!
