Xinyue Ding

Xinyue Ding is a Data Analyst at Apostle Inc, with a focus on enhancing business growth, revenue generation, decision-making support, customer engagement optimization, and competitive monitoring.

Xinyue's core competencies include Data Analysis & Visualization with tools like Python (NumPy, Pandas, Matplotlib, Seaborn, Sklearn), R (dplyr, ggplot2), and Tableau. She is well-versed in Data Pipelines such as SQL, ETL processes, Google Cloud (BigQuery), and AWS (EC2). Additionally, Xinyue has expertise in Machine Learning algorithms like Logistic Regression, Random Forest, XGBoost, SVM, Text Mining (RNN, LSTM), and Feature Engineering. She also excels in User Growth strategies such as A/B Testing, Cohort Analysis, and Funnel Analysis.

Xinyue's educational background includes a Master of Science (MS) in Statistical Science from Duke University with an impressive GPA of 3.89/4.0. She also holds a Bachelor of Science (BS) in Statistics from Wuhan University, achieving a Major GPA of 3.94/4.00 and ranking 1st out of 45 students.

In terms of professional experience, besides her current role at Apostle Inc, Xinyue has worked as a Data Analyst at WinPlus Education & Technology Inc. She has also served as a Teaching Assistant at Duke University, participated in the 2019 DII National Healthcare Big Data Challenge on AWS at The University of Texas Health Science Center at Houston (UTHealth), engaged as a Data Science Researcher at The Center for Advanced Hindsight at Duke University, and contributed as a Teaching Assistant in various capacities at Duke's Fuqua School of Business. Furthermore, she has a rich research background with roles like Research Assistant in Bayesian Item Response Modeling at Duke University, Machine Learning Researcher in Chinese Poetry Generation using RNN and LSTM at Wuhan University, and various other research and leadership positions.

With a strong foundation in data analytics, machine learning, and user growth strategies, Xinyue Ding is an accomplished professional with a diverse range of academic achievements and hands-on experiences in the field.