Hi, I'm Xinxin Zhou (aka Nora), a Data Science master's student at Brown University, with a bachelor's degree in Quantitative Science and Psychology from Emory University.

I like turning messy data into decisions a team can act on. I started in marketing analytics in Shanghai, testing ad creatives, mapping purchase funnels, and building the dashboards teams checked every morning. At Brown, I work on clinical trial data as a research assistant in biostatistics, which taught me to design analyses carefully, test whether results hold up, and explain findings to people who don't spend their days in the numbers.

I am looking for full-time Product Analyst and Marketing Analyst roles starting in 2027. Feel free to reach out about any opportunities : )

Experience

May - Aug. 2025

Data Analyst Intern

I.T Group (I.T Apparels Limited), Shanghai

  • Cleaned and managed 50K+ transaction records with SQL and Excel; built a daily sales reporting workflow with weekly and monthly business reviews, and Power BI dashboards tracking seasonal trends, core KPIs, and category performance.
  • Supported creative testing for a BAPE co-branded product launch, comparing CTR, subscription conversion, and engagement across new and returning customers; new customers responded more to collaboration, limited-edition, and release-date messaging, which shaped a segmented content strategy.
  • Analyzed the brand's RedNote and TikTok accounts by content theme, engagement, and audience preference; worked with the marketing team to refine topic selection, lifting follower growth rate by ~40% over the prior period.
#Power BI#A/B Testing#Content Analytics#SQL
May - Aug. 2024

Data Analyst Intern

Shanghai Lianwei Data Technology Co., Ltd., Shanghai

  • Pulled and cleaned search-term, store sales, and market data from Alibaba and TikTok e-commerce and ad analytics platforms for mid-year sales festival and Father's Day campaigns; built customer personas and brand, category, and competitor analyses for daily and monthly reports.
  • Benchmarked ad performance (CTR, ROI) against the market and ran A/B tests on TikTok ad targeting, raising conversion among price-sensitive users by 3%.
  • Mapped the click, product page, add-to-cart, and purchase funnel with SQL and Tableau, finding product page to add-to-cart as the largest drop-off; recommended surfacing promotions and key selling points earlier on the page.
#Funnel Analysis#Ad Optimization#Customer Segmentation#Tableau

Research & Projects

Jun. 2026 - Present

Research Assistant, Biostatistics

Brown University, Providence, RI

  • Built an automated analysis framework (4 biomarkers × 3 outcomes × 2 model types) in R and SAS for a prostate cancer clinical trial, producing 24 analyses with standardized outputs; identified the only biomarker significantly predicting progression-free survival (HR=1.42, p=0.026).
  • Owned the analysis end to end, from dataset identification, population definition, and outlier detection to sensitivity analyses validating robustness; delivered statistical reports and publication-ready figures to the PI.
  • Integrated imaging, lab, and clinical data for an Alzheimer's study, building patient ID crosswalks, visit matching, and QC workflows to create an analysis-ready database.
#R#SAS#Survival Analysis#Data Integration
Dec. 2025 - Feb. 2026

Socioeconomic Disparities in Cardiac Care

2022 National Inpatient Sample

  • Built survey-weighted logistic regression on national inpatient data; privately insured patients were 1.8x more likely (p=0.035) than Medicare patients to receive ICDs. Manuscript in preparation.
#Stata#Logistic Regression#Health Equity
Oct. - Dec. 2025

In-Hospital Mortality Prediction

SUPPORT2 dataset

  • Benchmarked XGBoost, Random Forest, SVM, and logistic regression in Python; handled heavy missingness with pattern-specific submodels and 5-fold cross-validation, with XGBoost achieving the best AUC and F1.
#Python#Machine Learning#Missing Data

Education

2025 - 2027

Brown University

M.S. in Data Science, GPA 4.0/4.0

Coursework: Machine Learning, Deep Learning, Data Engineering, Computational Probability & Statistics, Automated Decision Systems

2021 - 2024

Emory University

B.S. in Quantitative Science (Economics Track) & B.A. in Psychology, GPA 3.95/4.0

Dean's List; College Honors (2022-2024)

Skills

Languages
SQLPythonRSASStata
Analytics
A/B TestingFunnel AnalysisCustomer SegmentationKPI ReportingRegressionCausal InferencePredictive Modeling
Tools
TableauPower BIExcelPandasScikit-learnApache Spark