Dawei Zhao

ML-based Quant Hedge Fund

• Designed cloud flexible business intelligence solution for music streaming client by utilizing Inetsoft BI platform to monitor user preference, product performance metric and music recommendation system. • Developed database schema, deployed scheduled ETL and Machine Learning models by leveraging SparkML on automated dashboard, saved job running time and computing cost by 20% and 10% through MapReduce optimization. • Identified top factors of music recommendation by building tree-based and GLM (Lasso Regression, GBDT), implemented user clustering model by Kmeans to deliver insights of targeted marketing with 7% CTR increase. • Analyzed and reported business metrics movement in AB testing of version iteration through BI dashboard.

• Managed the entire CP (Connected Partner) project of O2O, a key strategy for Nike’s digital marketing. Developed and improved the O2O plan involving multiple cross functions to enhance both e-commerce and franchise system. • Assisted in the establishment of core Tableau dashboard, data collection and database management. Analyzed performance data from several digital platforms and offline stores to identify problem and define strategic solutions. Reported the performance and progress of CP project to senior managers of different teams involved in biweekly meeting. • Made a long-term plan for the next five years including possible marketing strategy, pilot areas, budget planning, global technique support, goal setting and future prediction.

• Researched employee behavior data and survey feedback, designed and evaluated over 15 business metrics reflecting employee productivity, visualized metrics in Tableau to deliver insights. • Built and owned end-to-end ETL pipeline aggregated data from Redshift, automated metric calculations (Python, SQL) and set up alerts to detect suspicious metrics movement. • Implemented and trained tree-based model (e.g.Random Forest) to predict team workload, and identified top factors influenced results via feature importance. • Proposed resource allocation suggestions, designed experiments to estimate effect with 20% improvement in overall employee efficiency, including data sampling, power analysis and ramp up strategy.

Courses: Big Data Platforms Statisitcal Analytics Advanced Machine Learning Data Mining Principles Natural Language Processing Linear and Non-Linear Model Time Series Data Visualization Techniques Data Science for Consulting