About

Shiyu (Sharon) Wang is a Senior Machine Learning Engineer at Apple with over 5 years of experience in statistical modeling and business analysis. She is highly passionate about Machine Learning algorithms and solving data-driven problems. Shiyu possesses a strong skillset in Machine Learning, Data Analysis, Statistical Analysis and Modeling, Data Visualization, and A/B Testing, and is proficient in programming languages such as Python, R, PySpark, SQL, NoSQL, SAS, and VBA. She is also well-versed in AWS, MongoDB, Scikit-Learn, Pandas, and ggplot2. Prior to joining Apple, Shiyu worked as a Data Scientist at Affinity Solutions, where she analyzed massive consumer credit card transaction data to extract spending patterns and built logistic regression models using PySpark/ML to target top spenders of merchants. She also constantly experimented and tuned models using algorithms such as decision tree and random forest to improve relevancy. Additionally, she built text mining algorithms to match merchants with credit card transactions. At Scotiabank, Shiyu worked as a Data Analyst, where she extracted and analyzed worldwide application systems performance data and plotted performance trends using SAS and VBA. She monitored system performance by comparing data trends, percentiles, and outliers with historical data and analyzed ad-hoc performance data upon client's requests and investigated reasons for production issues. Shiyu holds a Master's Degree in Analytics from the University of San Francisco and a Bachelor's Degree in Actuarial Science and Statistics from the University of Waterloo. She has a relevant experience of 8.28 years and possesses a diverse tech stack that includes ML, SQL, AWS, Scikit, Random Forest, test, Python, Pandas, NoSQL, MongoDB, Data Scientist, and Research Scientist.