Wendy Z.
Analyst @ County of San Mateo | Data Analytics, Data Science, Biostatistics
- Role
- Data & Program Analyst at County of San Mateo
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Wendy Z.
I am passionate about uncovering insights using data to drive strategic decision-making. My experiences span pharmaceutical, hospital, and research settings, where I have applied statistical techniques such as survival analysis, predictive modeling, and regression. Open to chat about new opportunities in data analytics and strategy. Programming: R (tidyverse, plotly, ggplot2, dplyr, leaflet, shiny), SAS, SQL Tools: GitHub, Microsoft Office Suite, Google Suite, Adobe, GIS, Looker Statistics: linear/logistic/multivariate regression; survival analysis; hypothesis testing; predictive modeling; model training
Experience
Data & Program Analyst
Oct 2024 — Present · Redwood City, CA, US
Serve as technical project manager for shelter operations, coordinating across health services, finance, legal, data, and external stakeholders to deliver projects on time and within budget- Manage $10M+ annual program budget for the County’s largest shelter program, managing spending and reallocations to align with evolving operational priorities- Reconcile $400K+ monthly invoices with internal and external finance teams, resolving discrepancies and ensuring fiscal accuracy- Lead cross-functional projects across 10+ departments (Health, Legal, Finance, etc.), setting timelines, driving stakeholder engagement, and delivering process improvements to streamline shelter operations- Spearhead the full contract lifecycle (drafting, negotiating, executing amendments) in collaboration with legal and executive teams, increasing in funding for operations vendor- Partner with County Health Department stakeholders to scope, implement, and launch process improvements for on-site medical/dental clinics, improving service delivery for 600+ vulnerable clients annually- Analyze monthly program KPIs on Excel/Looker to assess performance, optimize resources, and guide long-term planning.
Education
Columbia University
Master's degree, Epidemiology, Biostatistics, and Applied Data Science
2022 — 2024
University of California, Berkeley
Bachelor of Science - BS, Nutritional Sciences
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