Work Experience:

Generative Motion Analyst Cartwheel

▪ Part-time job helping evaluate and train Cartwheel's Large Motion Model

ML Engineer Kinedu (EdTech Startup)

▪ Implemented the DeepCTR Neural Network algorithm as a team to recommend 7 activities for over 1 million users daily, tailoring recommendations based on the personal behavioral development of newborn children.

▪ Collaborated with product and data team to restructure the data pipeline, reducing response time for the algorithm microservice by 40%.

Backend Software Engineer BaseCamp Franschising (Resale Franchise, 260+ stores)

• Innovated an Excel Data Pipeline using robust Express applications in TypeScript to capture and analyze data from over 10 million monthly interactions across Google, Facebook, Instagram, and TikTok.

Data Science Pattern

▪ Designed and implemented 'Where to Build', a sophisticated SQL pipeline and Tableau analysis toolkit,

evaluating over 300 million products across every Amazon category. Products on auriabeauty.com were

designed based off the analysis.

▪ Developed 'What to Build', an innovative NLP pipeline to analyze 10,000+ product reviews, pinpointing critical

pain points that directly influenced the design of 3 new consumer-focused products, boosting customer

satisfaction and market competitiveness.

▪ Led a machine learning-driven due diligence analysis that underpinned a successful $22M acquisition of

Current, strategically assessing market competition and growth forecasts, thereby securing a pivotal expansion

in our market reach.