Summary
Zihan Zhao is an applied data scientist-in-training with eight years of hands-on analytics experience, currently pursuing a Master’s in Applied Data Science at USC after earning a Data Science & Economics BA from Berkeley. She has shipped production-focused automation and ML solutions—reducing report generation time by 80% at Helios & Partners and raising an interview Copilot’s accuracy from 80% to 90% at DataLynn—using Python, SQL, Pandas, NumPy, and scikit-learn. Her background spans product analytics, ERP data extraction, recommendation A/B testing at ByteDance, and research-grade modeling at the Chinese Academy of Sciences, giving her fluency in bridging academic methods and business impact. Independently built data pipelines and chatbot intents (Rasa) demonstrate both engineering rigor and product sensibility, while her collaborative internships show strong communication and critical thinking. Based in Berkeley, she’s actively seeking Data Scientist roles in tech and is known for pragmatic problem solving—ask her about Yuki, her Maltese, for a lighter icebreaker.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Applied Data Science, Master's degree, Applied Data Science at University of Southern California
Bachelor's degree, Data Science & Economics, Bachelor's degree, Data Science & Economics at University of California, Berkeley