Lauren Alexander Email & Phone Number

Mountain View, California, Us

Mountain View, California, Us

Mountain View, California, Us

Data science leader embedded in the Product Strategy team, where I leverage data to inform Aurora's go-to-market strategy for both our trucking and ride hail verticals. Responsibilities include:• Managing, mentoring, and hiring data scientists and analysts• Owning the team's quarterly data science roadmap, week-by-week project prioritization, and sprint planning • Regularly partnering with and presenting to varied stakeholders to support data science asks for cross-functional workstreams• Analyzing and recommending the optimal launch city and network scope for Aurora's ridehail product• Leveraging the team’s agent-based marketplace simulator to estimate fleet performance metrics that inform commercial forecasts, operational decisions, and expansion planning• Developing algorithms that marry demand and mapping data to estimate the commercial value of unlocking autonomy capabilities and geographies for both trucking and ridehail expansion.• Designing data schemas and relationships for demand and supply data ingested into Aurora’s cloud infra

San Francisco, California, Us

Boston, Massachusetts, Us

Data scientist and product manager passionate about using data to improve Zipcar's internal business processes and consumer-facing products and services. • Define, prioritize, manage, and evangelize data science roadmap and projects• Engage with and support internal stakeholders across operations, engineering, product, strategy, and finance teams• Execute data science projects end-to-end, including needs finding, project formulation, mining and cleansing data, combining datasets, statistical modeling, data visualization, and presenting recommendations to key stakeholders • Lead efforts to model and predict demand to automate and optimize supply and pricing decisions• Develop analysis, models, and web-based tools that support mid- and long-term business planning, as well as real-time operational recommendations

Cambridge, Ma, Us

As part of Marta Gonzalez' Human Mobility and Networks Lab (HuMNet), my research uses massive, passive data such as mobile phone Call Detail Records (CDRs) to characterize and predict mobility patterns and road usage.• Developed and validated origin-destination (OD) trips by purpose and time of day inferred from mobile phone records.• Assessed congestion impacts of ride sharing under variable adoption using OD trips inferred from mobile phone data.

Fortitude Valley, Queensland, Au

Informed route planning and scheduling of express commuter shuttles by developing algorithms that incorporate population synthesis, mode choice modeling, and network optimization techniques.

London, Gb

Developed an interactive tool that allows Amtrak to forecast ridership and revenue for Northeast Corridor high-speed and regional rail services, and managed projects related to applications and updates of the model and its interface. Led modeling tasks related to the development and application of mode choice models to forecast ridership and revenue for several large high-speed rail forecasting projects. Adapted and applied numerous MPO travel demand models for corridor-level transportation studies, including high-speed rail, commuter rail, and toll road systems.

Master Of Science (Ms), Transportation

B.S., Architectural Engineering