Data Analyst Digital Marketing

Tong Zhu

+1-858-***-**** • ******@**.***.***

Chapel Hill, NC 27516

Education

University of North Carolina at Chapel Hill, NC Chapel Hill, NC Master of Science in Statistics and Operations Research GPA:3.9/4.0 August 2018 - May 2020 (Anticipated)

Core Courses: Applied Statistics, Machine Learning, Advanced Database, Time Series Forecasting University of California at San Diego, CA San Diego, CA Bachelor of Science in Joint Mathematics and Economics GPA: 3.8/4.0 September 2014 - June 2017

Provost Honors (6 semesters)

Core Courses: Numerical Analysis, Mathematical Finance, Microeconomics, Applicable Computing Related Experience

Fields Invest Asset Management Co. LTD Shanghai, China Quantitative Research Intern June 2019 – July 2019

Employed machine learning methods for time series forecasting: developed Elastic Net regression model which forecasts commodity inventory one week in advance to inform the marketing strategy

Conducted research on Black-Litterman asset allocation model, summarized findings and supported the quantitative research team during the model development process

Developed, maintained, and updated reports and web-based dashboards by using Tableau to provide insights

Led training sessions for new members and helped them get familiar with daily operations within one week, which usually took two weeks before

NetBooster Internet Science and Technology CO. LTD Shanghai, China Digital Marketing Data Analyst Intern March 2018 – June 2018

Optimized company’s KPI reports which reduced human interactions and the probabilities of errors

Automated data entry process of daily transaction recording from vendors that reduced input errors by 15% and generated visual representation with Tableau to support marketing strategy Nanjing Deiqiao Trade Co. LTD Nanjing, China

Data Analyst Intern August 2017 – February 2018

Developed an ARIMA forecasting model for the demand of plastic to increase efficiency and reliability of monthly budgeting and performance goal setting

Explored and cleaned data in the last two years transaction records over 200,000 data points

Visualized time-series data in an intuitive way for non-technical clients Research and Project

Ridesourcing on Road Crashes case study, UNC Chapel Hill, NC Research Assistant May 2019 - Current

Led the meeting sessions with clients to figure out the structure of raw data and come up with a data analysis plan

Implemented and improved Generalized linear models (GLM) and determined confidence levels for potential factors that contribute to road crashes, implemented with R MASS package

Delivered effective presentation of findings to clients to help them improve their studies in determining the effects of ride-scouring demand

Machine Learning case study, UNC Chapel Hill, NC

Group Leader February 2019 - May 2019

Led the group meeting to deploy and scale a machine learning analysis plan: created a ranking system for 168 public Telecommunication companies to help investors make investment decisions

Implemented factor analysis through Python Sklearn, which reduced the data dimensions by exploring four important latent variables from the original 22 variables

Identified three types of telecommunication companies by K-means clustering, and implemented support vector machines (SVM) to evaluate the result with up to 86% accuracy Skills and Objective

Coding: Python, R, SAS

Data Manipulation: MySQL, Pandas, dplyr, Excel

Data Visualization: Tableau, matplotlib, Searbon, ggplot2

Objective: Seeking data analyst/data scientist full-time position; available from January 2020, open to relocation

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