Data Analyst Customer

HE (ELAINE) WANG

******.****@******.*** • linkedin.com/in/elainewang9 • Austin, TX • +1-512-***-**** EDUCATION

The University of Texas at Austin Master of Science in Business Analytics GPA: 3.92/4.0 May 2020 Coursework Includes: Data Analytics Programming, Advanced Predictive Modeling, Database Management, Decision Analysis, Text Mining, Marketing Analytics, Supply Chain Statistics, and Stochastic Control and Optimization Nankai University Bachelor of Economics, Finance GPA: 3.7/4.0 June 2019 TECHNICAL SKILLS

Knowledge: Time Series, Machine Learning Models,Hypothesis testing, A/B testing Computer Skills: Python(Numpy, Pandas, Matplotlib, Scikit-Learn, Keras, TensorFlow, nltk), R(glmnet, Tidyverse, ggplot, dplyr), SQL, Hadoop(PySpark), Databricks, AWS, Tableau, SAS, Excel (XLSTAT), SPSS EXPERIENCE

Amazon – Customer Data Analyst(Intern) ; Digital and Device Customer Services; Beijing, China Dec. 2018 – May 2019

• Analyzed Voice of Customer data analyses for China, U.S. and Australia, including Kindle and Alexa monthly and weekly customer data analysis reports, customer contact issue analysis

• Used Python & Sprinklr to extract data and analyze strengths and weaknesses of products from customers feedback and reviews

• Conducted research and analysis for trade-in service program, promotion program and new product launch program

• Led CN Kindle Master model localization program and finished 2000 queries to improve the accuracy of keywords searching Bytedance Technology Co., Ltd. – Business Data Analyst(Intern); Beijing, China May 2018 – Aug. 2018

• Produced comprehensive data reports to monitor analytical metrics of advertising on TikTok and Toutiao app and aid daily operation

• Monitored metrics of advertising in various industries (E.g.: Exposure, Click Through Rate, Conversion Rate etc.) to help agencies with improving the quality of advertisement planning and agency retention rate

• Performed organizational structure analysis using multidimensional analysis of employee demographic information to optimize employee training platform and design a coherent strategy to improve retention and employee satisfaction Ernst & Young Hua Ming LLP (Beijing) – Financial Audit(Intern); Beijing, China Jan. 2018 – Mar. 2018

• Audited key financial metrics for multiple clients, collaborated with internal IT, actuarial team and client team

• Audited client’s balance sheet and annual report, performed walk-through test and control test of insurance procedure and prepared annual financial statements

DATA SCIENCE PROJECTS

Drowsiness Detection -Machine Learning Project Fall 2019

• Improved the out-of-sample prediction accuracy by 20% after feature normalization and threshold selection

• Extracted facial landmarks for 10,560 frames from 44 self-recorded videos using OpenCV and did feature extraction to define 4 facial features, such as Eye aspect Ratio, Mouth aspect Ratio etc.

• Trained various classification models such as K-Nearest Neighbor, Random Forest, XGBoost etc. and deep learning model, LSTM Networks for early state of drowsiness detection

Automotive Conjoint Analysis -Marketing Analytics Project Fall 2019

• Conducted choice based conjoint analysis to decide the effectiveness of attributes of cars (Engine, Price, Audio System etc.)

• Built Multinomial Logistic Regression, K-Means Cluster (XLSTAT) and Hierarchical Bayes Model (R) to segment customers and analyze elasticity of market share and price

Luxury Hotel Text Analysis - Text Analytics Project Fall 2019

• Scraped 4530 customer reviews of luxury hotels at Downtown Austin to provide new hotels with recommendations by text mining

• Conducted topic modeling by LDA and sentiment analysis to extract main topics and analyze top positive and negative features

• Explored the strengths and weaknesses of each hotel by computing TF-IDF, sentiment analysis and lift analysis LEADERSHIP EXPERIENCE AND ACTIVITIES

“Know About Business” Club – President; Nankai University Apr.2017 – Jul. 2018

• Managed 4 departments to ensure efficient day-to-day operations and gained experience in organization, cross-team collaboration

• Acted as project leader for speech of the movie director of Big Fish & Begonia, Xuan Liang, attracting 300+ students ADDITIONAL INFORMATION

Language: Fluent in Mandarin Chinese, English

Work Eligibility: Extended eligibility to work in the U.S. due to S.T.E.M. certification; will require visa sponsorship for long-term employment

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