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Work Experience
Data Scientist
April Labs • May 2022 - August 2022
• Built Influencer and Video Content Evaluation System • Developed Instagram and TikTok Web Scrapers to automatically extract video-related features using Python BeautifulSoup4, and deployed on Amazon Web Services (AWS). Fully replaced the old manual system • Performed historical analysis to visualize the video engagement performance using Python • Constructed a creator price determination model using KMeans clustering models and creator performance evaluation dashboards. Lead the transformation process from price-taker to price-maker • Designed XGBoost models to predict creators’ engagement and achieved 87% accuracy
Machine Learning Data Scientist
Intel Corporation• November 2020 - April 2021
• Constructed Machine Learning and Monte Carlo Models to Predict CPU Sales Net Revenue • Collected more than 100,000 observations rows and 32 features from MySQL database, Salesforce, and SAP HANA Data Warehouse using SQL language • Constructed XGBoost machine learning model on the processed dataset in Python to forecast the CPU sales unit. With parameter tuning and model regularization, my model reached 92% accuracy • Designed a Monte Carlo Model to predict the CPU Average Sales Price based on the nature of average sales price analysis and achieved 96% accuracy • Combined XGBoost and Monte Carlo net revenue prediction model reached 94% accuracy on average. The model has been adopted by Intel Chinese branch to help product factory optimize CPU arrangement
Education
University of Michigan - Ann Arbor, Ann Arbor
Data Science, MS• August 2022 - Present
University of California, Irvine
Mathematics, BS• September 2016 - June 2020
University of California, Irvine
Quantitative Economics, BS• September 2016 - June 2020