Anthony Izzo Email & Phone Number

Atlanta, Georgia, United States

Led key initiatives to develop and improve data pipelinesto drive core components of The Home Depot's marketingprograms.Developed data apparatuses to drive informeddecisions that resulted in better optimization ofdepartment resources.Created a strong team culture focused on employeeengagement, collaboration, and continuous learningopportunities.

Los Angeles, California, United States

Produced and delivered complex analyses to major "Fortune 100" clients and associated key individuals. Intelligibly and successfully communicated these advanced analyses to stakeholders at a variety of skill level, position / seniority, and background.Managed a team of up to four individuals to project manage the development of these analyses using the agile methodology, involving such practices as prerequisite identification, timeline planning and cross-functional task delegation, and outcome / expectation management.Created and tested various analytical hypotheses using statistically sound methodologies, which then produced immediately actionable insights for the clients to implement in forthcoming campaigns iterations.Led up-leveling and coaching programs for team members in relevant technical areas such as statistics, Python, and SQL.Assisted in the orchestration and guidance of the implementation and ongoing maintenance of large, complex database and data engineering systems, and used structured and unstructured data to deliver actionable insights for iterable optimizations in media campaigns.

Seattle, Washington, United States

Led a broad team of analysts and data scientistsresponsible for overseeing all web, mobile, andapp analytics data.Developed and implemented A/B testingstrategies that drove measurable lift within ourcustomer base for Zulily products, thus providing a positive ROI for our campaigns as a whole.Maintained frequent interaction with C-suiteindividuals to measure goal achievement and determine areas of improvement.Founding Member of Zulily's company-wide Analytics Leadership Group, which identified, communicated, and implemented crossfunctional efficiencies at a significantly fastertimeframe than was previously measured at the higher organizational level.

Greater Seattle Area

Led and developed a team of (up to) seven analysts and data scientists to develop the programs and processes necessary to detect, mitigate, and plan for fraudulent activity on OfferUp's platform.Worked cross-departmentally with senior management and C-suite individuals to push forand implement best-practice analytics solutions, in close partnership with Engineering and Product teams.Regularly constructed and presented Weekly and Monthly Business Reviews to head executives.Developed a novel team-based approach to monitor and improve the myriad analyticsfunctions that Trust and Safety performs, using a variety of Python and SQL-based tools, to reduce OpEx and lead to near-real-time detection of fraudulent activity.

Greater Seattle Area

Led a team of six data scientists and analysts to evolve and expand Accenture's data-driven approach to the benefit of our B2B clients of all sizes and industries, while growing departmental revenue over 30% quarter-over-quarter.Grew the analytics department's offerings from basic dashboard and report generation, to advanced data science capabilities such as tailored self-serve BI reporting, predictive analytics as a service, and the offering of custom-built machine learning models based on bespoke data sets.Built and deployed a proprietary, end-to-end Accenture “marketing data lake” from the ground-up, from automated ETL ingestion through to BI visualizations, while training other team members and data practitioners on best practices for usage, maintenance, governance, and data democratization.Notable Clients:AmazonMicrosoftGoogleT-Mobile

Greater Seattle Area

Built an entirely data-driven and scalable demand generation pipeline for Discuss.io, including everything from marketing automation to Salesforce workflows, custom triggers, and evangelization of improvements in internal processes.Developed, analyzed, and communicated key KPIs for the business by joining, processing, and mining data from several disparate sources and by using a variety of data science techniques, to provide a holistic view of Discuss.io's sales and marketing operations.Lead the implementation and integration of Marketo and numerous other marketing and sales tools to our proprietary data science repository,which I developed and managed for the purpose of identifying key trends and outliers to optimize the allocation of department and company resources.

Greater Seattle Area

Designed, developed, and managed Bongarde's entire infrastructure and processes for customer success and retention marketing, including data management and optimization.Designed statistical modeling techniques to predict customer churn within customer usage data, using SQL, R, and Python.Lead a team of customer success managers to increase renewal rates based on observable data, and develop testable strategies accordingly.

Ba, International Business

Bsc, Mathematics With Finance

Education record

Education record