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<img src="/icons/command-line_gray.svg" alt="/icons/command-line_gray.svg" width="40px" /> Portfolio
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<img src="/icons/child_gray.svg" alt="/icons/child_gray.svg" width="40px" /> Who I am
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<img src="/icons/username_gray.svg" alt="/icons/username_gray.svg" width="40px" /> Contact
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<img src="/icons/calendar_gray.svg" alt="/icons/calendar_gray.svg" width="40px" /> My resume was last updated October 13, 2024.
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Izzy is an active transportation planner and data analyst working as a Civic Data Analyst II at Alta Planning + Design. She's an expert where the world of urban planning meets the power of data science, and she works to ensure that the urban fabric serves as a vital social safety net.
Experience
Alta Planning + Design
Civic Data Analyst II
Reno, NV
January 2024 - Current
- Analyzes spatial and tabular collision statistics with a particular focus on the effects of vulnerable road users (bicyclists and pedestrians) by using concepts in spatial statistics to identify high injury networks for local jurisdictions in order to target areas of investment for maximum safety impact.
- Estimates travel demand to optimize routes for active transportation using trip potential modeling with Replica Places data, measures the proximity and parallelism of origin-destination lines to estimate active mode shift potential, and assesses Strava Metro data to identify travel network behavior.
- Evaluates the accessibility communities have to opportunities by developing bicycle and pedestrian level of traffic stress (LTS) scores using OpenStreetMap data, conducts detailed access testing through network analysis, and enriches travel sheds with socioeconomic data.
- Led the development of trail suitability analysis using access, trip demand, equity, and sustainability criteria, enhancing project selection and prioritization processes for trail projects in California.
- Constructed a script that converts AI-derived roadway features from Ecopia to a parametric model of the right-of-way to facilitate scalable prioritization for reconfiguration of roads to support active modes and presented findings at conferences.
- Developed a suite of GIS data maintenance tools which validate, update, and conflate local data for regional management of bicycle and pedestrian facility and project data. Created metadata, documentation, and trainings.
HDR
Transportation Planner/Data Scientist
Washington, DC
September 2022 - December 2023
- Provided planning, data science, spatial analytics, and data privacy expertise for teams across the United States, designing interactive and web-based tools used by internal, external, technical, and non-technical stakeholders to inform strategic decisions and policy recommendations.
- Developed and maintained a library of custom R and Python scripts that automated repetitive data science tasks such as ETL, data cleaning, feature engineering, QA/QC, and more. Streamlined data workflows, generating significant productivity gains and reducing delivery time by weeks on several projects.
- Utilized data privacy subject matter expertise within the Community Analytics practice group, providing guidance on demographic and social data sources to business groups across the country; outlined recommendations for equitable planning approaches based on civic analytics.
- Researched and experimented with emerging technologies and data sources for planning applications and developed new workflows, data pipelines, analytical tools, and strategies to ensure the delivery of accurate, high-quality, interactive, and visually appealing work products.
Georgetown University, Urban & Regional Planning
Adjunct Lecturer
Washington, DC
May 2023 - December 2023
- Designed and led a curriculum that challenged students to develop a strategic plan for the Downtown East area in Washington, DC which addressed issues of sustainable development, transportation safety, housing and homelessness, and higher education placemaking.
- Curated course materials and developed assignments, lectures, workshops, and assessments which effectively engaged students and ensured they met course learning objectives.