Alexandra (Wenhsin) Lin

*** * ******* ***, ********, CA 95035 202-***-**** adjltx@r.postjobfree.com LinkedIn: www.linkedin.com/in/wenhsin-lin/

SKILLS

Python, SQL, Tableau, R, Machine Learning, Hive, Spark, Google Analytics, MS Office (Advanced Excel) PROFESSIONAL EXPERIENCE

Data Analyst Vaco, onsite at Google (Trust & Safety), Mountain View, CA July 2019 – Present

• Utilize complex SQL queries on large scale data to conduct rigorous quantitative analysis

• Design, develop, and maintain dashboards for key metrics reporting

• Provide data analysis to support cross-functional teams in project planning and performance tracking

• Define key metrics to evaluate operational performance and to measure safety on the Google Play Store

• Design and implement data-driven strategies to detect and to mitigate harm to the users and community Data Science Intern Cadence Design System, San Jose, CA March 2019 – July 2019

• Developed innovative approaches to improve the quality and efficiency of the current working process

• Conducted exploratory analysis to illustrate the current strategies and to provide suggestions

• Built regression models to predict module area and refine the current method, reduced error by 50%

• Visualized multiple statistical analysis in Python to test on hypothesis and evaluate the performances

• Collaborated with the R&D team to integrate the model into tools to optimize chip quota setting Data Analyst Intern Welldoc, Columbia, MD July 2018 – Dec. 2018

• Analyzed user behavior on a healthcare mobile app, BlueStar, that helps manage diabetes condition

• Applied NLP techniques to utilize unstructured comments to do customer segmentation analysis

• Created an interactive dashboard in Tableau to present user behavior to the management team and doctors

• Designed and built a classification model to predict user retention and achieved 74% accuracy

• Visualized data into charts to evaluate results on A/B testing to improve the quality of in-app features Data Analyst Intern Vpon Big Data Group, Taipei, Taiwan July 2018 – Aug. 2018

• Built gender prediction models on a dataset with 28,000 users’ information and achieved 83% accuracy

• Delivered the results with proper visualizations to implement target marketing and precise advertising Associate Auditor PricewaterhouseCoopers (PwC), Taipei, Taiwan Sep. 2016 – Nov. 2016

• Analyzed the financial data to detect financial misstatement or unusual business operations

• Designed and executed audit strategies then prepared high-quality reports in accordance with regulation EDUCATION

University of Maryland, College Park Aug. 2017 – Dec. 2018 Master of Science in Business Analytics GPA: 3.8/4.0 National Taiwan University Sep. 2012 – June 2016

Bachelor of Business Administration, Accounting GPA: 3.4/4.0 PROJECTS

Google AdWords campaign for e-commerce website Sep. 2018 – Nov. 2018

• Developed and implemented campaign strategies and high-quality keywords

• Managed the campaign and tracked performances using Google Tag Manager and Google Analytics

• Achieved 9% increase in website visitors with 21% conversion rate in a month Airbnb popular listing prediction Jan. 2018 – May 2018

• Performed exploratory data analysis on a dataset with 100,000 listing records on Airbnb

• Built machine learning models to predict listing with high booking rate and achieved 86% accuracy

• Generated reports based on the analysis to provide recommendations to improve booking rate Movie rating prediction Jan. 2018 – May 2018

• Processed the dataset with 26 million ratings from 270,000 users for 4,500 movies

• Built machine learning models to predict the movie popularity, using Spark (PySpark and MLlib)

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