Xuran Li

New York, NY Tel: +1-332-***-**** ad1g3z@r.postjobfree.com

EDUCATION

New York University New York, NY

Master of Science in Applied Statistics for Social Science Research Expected May 2025 Beijing Normal University-Hong Kong Baptist University United International College Zhuhai, China Bachelor of Science in Statistics of HKBU, First Class Honors 2019.09 -2023.06 WORK AND LEADERSHIP EXPERIENCE

New York University New York, NY

Teaching Assistant for Course: Basic Statistics 2023.09-2023.12

● Developed an off-line undergraduate statistics laboratory course focusing on statistical analysis in SPSS; designed course slides and SPSS instruction Manual; wrote review notes for midterm and final examinations.

● Taught labs to the section of 30 students for the course, held office hours, and graded assignments. Tencent Shenzhen, China

Data Science Intern at Social Media Platform 2021.07-2021.09

● Presented data visualization via PowerBI to track the user activity of Honor of Kings and reported classified data according to types of interaction marks.

● Analyzing indicators(application pass rate, icebreaking rate, and retention rate) to measure the chatting rate of newly added friends from the game channel and developed SQL scripts to extract data details of nearby groups by 3 features(group ID, numbers of group speakers, and people withdrawing from group).

● Conducted an independent pre-research project to estimate the effect of Channel Launch using daily active ratio, and per capita message volume by establishing a Time-Based Regression Framework in Python.

● Trained the pre-intervention data using synthetic control method (SCM) and built a prediction model based on Bayesian structural time series to quantify relative impact of the channel launch based on significance tests.

● Concluded that the channel's launch had a significant positive impact on daily active ratio of users and per capita message volume in the short term, with no significant impact in the long term. China Construction Bank Wuhan, China

Financial Technology Intern 2022.07-2022.09

● Worked on fast loan promotion project by constructing machine learning models using logistic regression and random forest model (RFM).

● Implemented feature engineering in SAS by data cleaning and scaling on the credit records of customers.

● Scored inactive users to predict their likelihood of spending fast loans, and improved recall rate from 82.1% to 90.8% using the Grid Search algorithm, allowing for targeted marketing.

● Conducted targeted marketing to high-potential customers, enhancing the usage rate of inactive users. SELECTED PROJECTS

Quantitative Assessment of Maturity Level for Data Teams

● Reduced dimension of 9 key performance indicators by applying hierarchy process and principal component analysis to selecting 5 features with higher weight after sorting.

● Quantified maturity levels by combining hierarchy process algorithm with fuzzy comprehensive evaluation method.

● Trained raw data by using back propagation neural networks (BP) to discover optimal models and achieve predictions of maturity level.

SKILLS AND COURSES

Software and Programming languages:

SQL(Mysql), R(Base, Tidyverse, Markdown), Python(Numpy, Pandas, Scikit-Learn), SPSS, SAS(Proc Sql) Main Courses:

Regression Analysis, Multivariate Analysis, Messy Data and Machine Learning, Statistics Computing in R, Bayesian Statistics, Data Mining, Causal Inference, Applied Stochastics Process

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