Business Analytics

Lin Zhu

424-***-**** *****@*******.*** linkedin.com/in/linzhu1111/ github.com/lzhu1111

P R O F I L E

Extensive experience in data visualization, advanced statistics, machine learning, and product management. Technical skills include SQL, Tableau, Python (pandas, numpy, scikit), R, and Google Analytics. Certified AWS Cloud Practitioner. E D U C A T I O N

University of California, Davis San Francisco, CA

MS in Business Analytics Expected June 2020

University of California, Berkeley Berkeley, CA

BA in Political Economy May 2018

E X P E R I E N C E

Barco San Francisco, CA

Business Analyst - Practicum October 2019 - Present Barco Synergi is a cloud-based SaaS solution that serves clinical collaboration needs from tumor board meetings.

• Pioneered an in-product business intelligence tool on Tableau to track key performance metrics to demonstrate improved patient care and increased tumor board throughput associated with product usage

• Deployed an automated data pipeline using Python (pandas, numpy) and Tableau to simulate patient-level dataset with ~300k records, to analyze and visualize historical treatment patterns and trends

• Introduced customer journey map to make recommendations on 10 usage metrics to track and measure for improved user experiences across different touchpoints on the software platform

• Created and delivered business case presentations to advise VP of Product Management on the market positioning of deals valued up to $1.2M per hospital

• Developed an excel-based ROI model to enable the sales team to quantify and convey a financial impact of up to

$8.4M per year to existing and prospective customers

• Communicated cross-functionally with Product Manager and Engineers in a small agile team setting to define the minimum viable product, beginning with ideation and following through to a delivered prototype University of California, Berkeley Berkeley, CA

Lead Program Coordinator July 2018 - July 2019

• Automated reports via Google Data Studio to package and present vital data on application metrics to interdepartmental stakeholders to inform business development decisions on target student demographics

• Designed and conducted evaluation surveys through Qualtrics to collect feedback data from 1500+ current students, and generated analytical insights to guide future improvements for educational products and services

• Shortened the admission review cycle by 20% by implementing updated processes and workflow for application review and admission notification

• Evaluated Google Analytics dashboards using page referral traffic and program application trends to conduct a cost-benefit analysis of a social media marketing campaign P R O J E C T S

Amazon Product Review Predictor

• Utilized Python (scikit-learn, nltk) to develop a lasso logistic regression model to predict 5-star ratings of Amazon electronics and performed basic natural language processing techniques on ~500k + lines of product review data eBay Sponsored Seller Analysis

• Built an MYSQL database with 1000+ web-scraped listing details to identify key feature differences, including item prices, seller ratings and shipping costs, between sellers of sponsored versus unsponsored Apple products Customer Acquisition A/B Test Analysis

• Evaluated social media marketing experiment results to recommend the launch of the campaign and identified target customers with 86% higher expected revenue

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