About

Wendy (Weixin) Wang is a skilled Machine Learning Engineer with more than 7 years of relevant experience in the field of data science, analytics, and machine learning. She has a deep understanding of statistics and machine learning and is well-versed in feature selection, feature engineering, and model selection. Wendy is a disciplined engineer who follows software development engineering best practices and has an agile mindset. Wendy's areas of expertise include revenue management, airline network planning, machine learning (Logistic Regression, Random Forest, Support Vector Machine, Lasso), exploratory data analysis (in Python, R, and SAS), time series analysis, UI design (.Net), data visualization (in Python, R, and Tableau), and experiment design (A/B testing). Currently, Wendy is working as a Machine Learning Engineer at Meta, where she is leveraging her skills to develop machine learning models that solve supervised and unsupervised problems. In her previous role at Credit Sesame, Wendy built a personalized email recommendation system that increased email click rate by 50%. She also leveraged clustering and logistic regression techniques to build a predictive model pipeline on credit card approval odds forecasting, improving accuracy by 50% compared to the rule-based model. Wendy also designed an A/B test framework to identify features of improvement on the website and performed deep-dive analysis on the A/B test result using statistical tools such as two sample proportional z-statistic. Prior to that, Wendy worked as a Software Engineer in Machine Learning at Accenture, where she determined monthly growth rates of passengers and revenues through analyzing ticketing data and extract fare, passenger, and capacity patterns, gaining 25% efficiency in revenue management for airline carriers and aircraft manufacturers. She also implemented statistical models such as ARIMA and Holt-Winters to airline network planning forecasting and long-term market analysis, improving 45% accuracy of prediction on passenger growth for major airline alliances. Wendy holds a Master's Degree in Operation Research from the State University of New York and a Bachelor's Degree in Industrial Engineering from Nanjing Agriculture University. She is proficient in ML, test, Python, SVM, Random Forest, Software Engineer, Big Data, recommendation system, designer, Data Scientist, Research Scientist, ui, and SQL.