Audrey Webb Email & Phone Number

San Jose, CA, US

• Build, automate, and manage ETL processes (Airflow, Spark, Python) to create data pipelines. Perform ETL on disparate data sources – e.g., online transaction data, web service data, payment, order history, and.
• Automate processes that were previously manually performed using Airflow, AWS storage, database, and technologies; enhance supportability of products through CloudWatch alerts.
• Oversee end-to-end experimentation. Own an entire application from development to production for successful go-live which involve ensuring co-ordination between onshore/offshore CRM, data engineering, reporting, and.
• Tech lead in a new data science/ML team to productionize ML algorithms. Restructure existing data quality and profiling product framework to accommodate complex business requirements and data science use cases.
• Routinely communicate with clients to update status of work, and strategically advise and manage workload expectations.
• Contribute to internal open-source projects.

San Jose, CA, US

• Consult with large companies to use Adobe Experience Platform Data Science Workspace capabilities to improve marketing campaigns resulting in increased ROI and customer online experience/engagement.
• Apply statistical and ML techniques to interpret key points from gathered data and solve complex business problems.
• Analyze large data and build machine learning models for numerous use cases such as Recommendation Engine, Propensity to Purchase/Churn, Customer Lifetime Value, Marketing Attribution, etc.
• Lead initiatives to build Adobe Experience Platform practice documentation and enable other consultants (and customer partners) on product’s data science capabilities.
• Collaborate with internal and external stakeholders identifying and gather analytical requirements for customer, product, and projects needed. Routinely communicate with clients to update status of work, strategically.

San Jose, CA, US

• Configure Adobe Analytics’ Tracker using JavaScript to get and post site interaction metrics and dimensions using an event driven data layer & Deploy/ maintain asynchronous and synchronous third-party tags, yielding.
• Integrate Adobe Analytics’ library with web and mobile data layers by implementing custom JavaScript handlers, giving clients the ability to analyze millions of daily hits for product design, usage reporting, and new.
• Facilitate cooperation between cross-functional teams, and manage expectations to achieve consensus on new and existing product features within a fast paced, agile environment.

Berkeley, CA, US

• Build an algorithm to perform and optimize the record linkage process across multiple Chinese data files with the goal of performing a Capture-Recapture analysis on infectious populations with minimum error.
• Work on patient attribute matching across multiple hospital databases to reduce duplicate patients tagged to multiple accounts and increasing the accuracy of the analysis.
• Advance computational and statistical approaches for integrating high-dimensional, patient-level big data (more than 100 million record pairs) across multiple disease surveillance networks in China.
• Present work at a California conference.

• Consult Public Health Informatics (PHI) team on data-based decisions resulting in determining optimal sampling strategy for their infectious disease data.
• Evaluate and optimize the efficiency of multiple infectious disease surveillance systems currently used in the Sichuan and Anhui. provinces of China. Develop strategies to increase low reporting rates. Develop new.
• Build and teach workshops for the CDC staff on utilizing R and its visualization capabilities to improve reports.

Berkeley, CA, US

• Project with the Agriculture and Resource Economics Department, Resonate (a women's leadership organization), and Azizi Life Partnership (a collective of six female-identified artisan groups in Rwanda).
• Process translated data from rounds of surveys carried out in Rwanda on control and treatment group.
• Employ appropriate data analysis techniques and visualization to understand impact of women’s leadership organization in Rwanda - self-efficacy, financial literacy, and health knowledge and care.
• Findings from data analysis published online and in peer-reviewed publications.

San Francisco, CA, US

• Update sepsis prediction machine learning algorithm based on customer feedback and needs.
• Contribute to research study design, manuscript, and report preparation. Perform literature reviews, and data collection on medical device markets, developed charts, and figures for aggregated data representation.
• Maintained relations with early-stage companies, product onboarding at partner institutions, and ensured data quality and continuous client education.

Bachelor'S Degree, Statistics

Bachelor'S Degree, Applied Mathematics, Computer Science

Bachelor'S, Applied Mathematics

"Associate In Arts", Liberal Arts: Math & Science