To empower the use of data in decision making and service delivery.
Make timely data available for use
Open data publishing provides access to a governed, shared platform for the easy sharing of data. During the publishing process, departments gain access to a suite of services: data transformations, automation services, and handling of sensitive or protected data.Submit a dataset to share
Tell stories, support decisions with data
DashboardSF is a collection of support services designed to help departments use PowerBI to automate manual reporting and create reports that lead to service change. PowerBI is an enterprise data wrangling, reporting, and visualization tool available to CCSF analysts.Sign up for Intro to PowerBI
Bring advanced stats & models to service changes
DataScienceSF brings the power of advanced analytics and applied statistics to assist the work of the departments in changing services. It aims to help departments achieve more with their existing resources and processes. This service from DataSF is offered through a project solictation process.Learn more and submit an application
This is the core team that work on DataSF programs, services and initiatives related to data sharing, data analytics and data science.
Michelle Littlefield is the Chief Data Officer for the City and County of San Francisco, where she leads the City’s data strategy and expansion of the City’s analytics ecosystem. Michelle brings 10 years of experience leading and building analytics capabilities and driving digital transformation in local government. She served as the Data & Analytics Manager for SF Planning where she focused on establishing consistent data governance standards, increasing GIS capabilities, and expanding the department’s Data & Analytics team. Prior to this role, Michelle served as the Digital Services & Analytics Program Lead for Redwood City and co-founder of the Code for America Brigade for San Mateo County. Michelle earned Bachelor’s degrees in Political Science and Urban Studies & Planning from UC San Diego, completed her Executive Leadership Program at Stanford University Graduate School of Business, and is pursuing an M.S. in Applied and Computational Mathematics from the Johns Hopkins University. She’s passionate about connected urban systems and serves as an advisor on smart cities and urban analytics at various academic institutions and organizations.
Cody Xuereb is the Analytics Strategist at DataSF. Cody joins DataSF with a decade of experience leading and managing analytics and evaluation projects for public sector agencies and a passion for using data to inform decision-making. Prior to joining DataSF, Cody worked as a Principal Analyst for the San Francisco Board of Supervisors’ Budget & Legislative Analyst/ Harvey M. Rose Associates. He also set up and managed the Research & Planning Unit at the San Francisco Juvenile Probation Department, which was responsible for advising the Department on performance and legislative changes. Besides his experience in San Francisco, Cody spent six years in the United Kingdom, where he worked as an economist for the British Government, including in the Prime Minister’s Implementation Unit, analyzing and advising on the implementation of national policies. He has also worked as a research associate at the London School of Economics and the University of California, Berkeley. Cody holds a Master of Science degree in Public Policy from University College London and a Bachelor of Arts in Political Economy and Public Policy from the University of California, Berkeley.
Tania Jogesh is the Data Scientist at DataSF. Tania comes to DataSF with more than a decade of data-driven research experience, an unconventional background in pollination ecology, and a desire to improve the world with data. She holds a PhD in Entomology from the University of Illinois Urbana-Champaign and a Bachelor’s degree in Biology and Statistics from Carleton University, Canada. Prior to her current position, Tania was a postdoctoral scientist with the Chicago Botanic Garden, where she applied advanced statistical methods to understand plant and insect communities in natural ecosystems.
Helen McLendon is the Analytics Engineer at DataSF. She comes to the City with a background in computational neuroscience, experience developing healthcare software, and a zeal for building well-structured, meaningful datasets. She received her Bachelor's degree in Biology from Stanford University and Ph.D. in Neuroscience from UCSF where she studied the neuronal mechanisms underlying auditory perception in songbirds. Prior to joining the DataSF team, Helen spent 5 years at a Medicare Advantage startup, serving in numerous roles including Data Scientist, Operations Manager, and Data Engineer. She is passionate about creating trusted systems that empower users to make data-driven decisions.
These are the people that help us along the way.
The Department of Technology supports us in developing and maintaining data pipelines for open data sharing and as partners on data architecture and infrastructure. A special acknowledgement to SFGIS within the department. SFGIS staff have been long-standing partners and champions for open data, providing support and expertise on automating data pipelines among other things.
We’ve partnered with the performance team in CSA on a variety of projects, including the Data Academy, Stat program research, and internal data sharing.
The wonderful team members that shaped DataSF's work to date.
We’ve had the opportunity to work with some amazing people on a short term basis. Their efforts have been key to moving some of our projects forward.