Richard Downey Email & Phone Number

San Francisco, Ca, Us

New York, Ny, Us

• Developed a production ML system trained, orchestrated, tested and monitored with Kubeflow Pipelines (in Vertex AI) and Airflow that detects individual items exiting a retail store with high accuracy utilizing streaming RFID data on item movements and positions throughout the store and POS data• Developed production pipelines on GCP with Dataflow, Apache Beam, Python and Big Query to turn streams of RFID data generated from items in a retail store into near real-time insights on inventory stock positions, out of stocks, misplaced items and fitting room analytics• Developed a prototype application with React and Django for RFID analytics• Working with cross-functional partners on system design, UX design, backend and frontend development

• Utilized regression modeling and clustering methods in conjunction with causal inference approaches (Double Robust ML, propensity matching) to understand the drivers of revenue associated with Instagram Shopping from both the demand (advertiser) and supply (user) perspectives• Planned, executed and measured >50 randomized control experiments ensuring that only features that drove significant user or advertiser benefits were shipped• Headed Data Science collaboration with engineers and cross-functional partners i.e. designers and Product Managers to build quarterly feature roadmaps for Instagram Shopping

Boston, Ma, Us

In this leadership and hands-on data science and consulting role, led complex, transformational AI projects for major retail clients. Managed relationships key internal and client relationships and interfaced extensively with client VPs and CEOs. Defined technical experiment designs, statistical analysis, and modeling methodology, guided product development roadmaps, and drove client adoption for data-driven recommendations. Recruited and managed world-class teams of Data Scientists and Engineers (grew by 3x) and built and trained client in-house Data Science teams as required.Notable Projects• Built an industry-leading personalization program for a large grocery retailer utilizing ML and Deep Learning capabilities that helped the company regain market share and spur revenue growth.• Developed an advanced promotion analytics tool to aid a major retailer’s merchandising team that transformed margin performance.• Built Machine Learning pipelines for a retail client that optimized brick & mortar retail space, floorplan layout and planograms, measured the impact on store operations, sales, margin, and product availability.

Brook Green, London, Gb

In this subsidiary of Tesco, served as Lead Data Scientist with direct and dotted line management of globally dispersed Data Science teams and guided the delivery of analytic excellence to major US and international retailers. Accountable for executive-level business requirements gathering, defining appropriate modeling techniques, driving exploratory data analysis activities, and distilling data-related solutions for client business goals.Notable Projects• Reversed declining sales performance by developing high-impact segmented marketing campaigns utilizing POS and customer loyalty card data.• Created numerous dashboards containing deep dive insights, modelling, and predictions to drive executive-level decision-making.• Executed personalized marketing campaigns and implemented/measured multivariate experiments to assess impact on KPI metrics and engagement.

London, Gb

Led a Data Science team to deliver cutting-edge predictive models and custom insight projects, including the development, deployment and monitoring of churn prediction models and next-best product recommendations.

Gogarburn, Gb

Oversaw the analysis of credit card data to understand customer behavior, predict attrition, and devise next-best financial products and services.

Ba (Hons), Marketing / Management Science

Master Of Science - Ms, Operational Reserach