ZIWEN (VIVI) ZHOU

adwnmm@r.postjobfree.com · 917-***-****

EDUCATION

Columbia University New York, NY

Master of Science, Business Analytics 3.73/4.0 Expected Dec, 2023

• Related Coursework: Business Analytics, Data Analytics, MS Marketing Analytics Tsinghua University Beijing, CN

Master of Science, Engineering and Management Science 3.77/4.0 Expected Dec, 2023

• Related Coursework: Big Data Analytics, Machine Learning, Advanced Econometrics Renmin University Beijing, CN

Bachelor of Science, major in Statistics and minor in Economics, Awarded National Scholarship 3.8/4.0 June, 2021

• Related Coursework: Database System, Timeseries Analysis, Applied Regression Analysis WORK EXPERIENCE

DiDi (Ride Share app like Uber) Beijing, CN

Data Scientist Intern Apr, 2022 – July, 2022

• Derived innovative insights and a north-star metric ‘circle rate’ by visualizing bicycles distribution, optimized operating staff allocation by PageRank algorithm, reducing operating costs by $1,000 per 25 squares kilometers

• Trained Lasso regression model to analyze weather impact on bicycle demand, improving supply chain and reducing damage costs by 9.2%

• Web-scrapped API and data-reformed to derive 9 metrics using Python and SQL and identified their correlation with bicycle rides utilizing Panel Regression, 1% increase in ‘circle rate’ yields 27.7% rides increase ByteDance Beijing, CN

Data Analyst Intern Mar, 2021 – Jun, 2021

• Built automated dashboards of Ads delivery system using SQL and saved 3 hours of monitoring work per week

• Utilized A/B testing to examine the discount of paid coupon packages of live e-commerce and user segmentation methods, with purchase conversion rate +1.3% and total order volume +2000/day NGNLab (Data Laboratory in Tsinghua University) Beijing, CN Research Assistant Intern Dec, 2020 – Mar, 2021

• Built a new model to improve the accuracy of the estimation of quantile residual lifetime in survival analysis to estimate survival function with MSE 0.034 compared with 0.057 using AIC, BIC

• Leveraged semantic segmentation model PSPNet to computer, the proportion of objects on 10400 street images data set, scraped from 52 cities, utilized k-means method to cluster cities into 3 categories PROJECTS

User Segment and Marketing Insights

Academic Data Science Project Feb, 2023 –NOW

• Identified 3 common factors from user app data using Factor Analysis to gain insight into customer behavior

• Segmented users into 4 identical parts based on user factor scores and derived marketing strategies referring to survey data (demographic and motivation topics extracted by LDA) Data Mining of Overseas Guns Reports

Leader, Academic Data Science Project Nov, 2022 – Dec, 2022

• Identified geographic correlations between shootings, state GDP, sentiments score on dynamic maps by Folium

• Scraped 18969 gun-related reports from the New York Times using Selenium and Beautifulsoup, extracted news summaries by TextRank algorithm, estimated sentiment scores using Vader dictionary SKILLS & INTERESTS

Skills: SQL, Python (Sklearn, Scipy, Nltk, Selenium, Beautifulsoup, Tensorflow), R, STATA Interests: 10-years dance (Latin, Waltz, Chinese Dancing), Bungee Jumping, Badminton

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