Lin Zhu
About
Lin Zhu is from San Francisco Bay Area. Lin works in the following industries: "Automotive". Lin is currently Data & Insights Analyst at Tesla, located in Palo Alto, California, United States. In Lin's previous role as a Business Analyst - Practicum at Barco, Lin worked in San Francisco Bay Area until Jun 2020. Prior to joining Barco, Lin was a Lead Program Coordinator at University of California, Berkeley and held the position of Lead Program Coordinator at San Francisco Bay Area. Prior to that, Lin was a Assistant Program Coordinator at University of California, Berkeley, based in Berkeley, CA from May 2017 to Jun 2018. Lin started working as Undergraduate Research Assistant at Pepperdine University Graudate School of Education and Psychology in Malibu, CA in Sep 2015. From May 2015 to Aug 2015, Lin was Associate Consultant Intern at Qadisha Group 睿谷方略企业管理咨询, based in Tianjin City, China.
You can find Lin Zhu's email address at finalscout.com. FinalScout is a free professional database with over five hundred million business professional profiles and over two hundred million company profiles.
Lin Zhu's current jobs
• Data visibility, centralization and optimization for efficiency • Generating dashboards and reports for insights into Supercharger network usage and profitability for Deployment and Network Operations
Lin Zhu's past jobs
MSBA Practicum Project Tableau | Python | Excel • 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
Experimental Design and Analysis | Google Data Studio | Google Analytics • 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 • Planned and executed 8+ online webinars, in-person orientations, and closing ceremonies
• Conducted benchmarking analysis in the international education industry, identified correlation between service type and program fees to determine if pricing was competitive across institutions • Created annual financial sheets, using Excel to compile financial information from enrollment, accelerated the reporting process by 50% • Developed and implemented departmental guidelines for hiring and onboarding, standardizing the talent management process to increase applicant/role fit, resulting in 5 part-time hires
• Constructed online database of qualitative data from more than 1000 investigative interviews on Cyber-Ensemble, in order to provide experimental results to meet National Science Foundation’s document submission deadline • Used Excel Pivot Tables to analyze more than 500 student information to identify features and trends in sample population • Formed argument for the effectiveness of Cyber-Ensemble through demonstrating positive correlation between educational technology and test scores utilizing R Studio
• Facilitated meetings with consulting clients, contributed market entry ideas to discussion and resulted in client deliverable • Conducted analytical research on the Chinese economic environment and prepared slide deck discussing the strengths and weaknesses of different investment opportunities targeting small and medium-sized business owners • Analyzed financial cost per department to optimize use of capital by benchmarking to industry average and drafted each division’s proposed operating budget to reduce total cost