Seymour Douglas

About

Data/ML and product leader with large-scale consumer and enterprise experience (including Walmart) who blends hands-on prototyping with executive stakeholder alignment. Has delivered measurable outcomes across personalization, semantic search/knowledge graphs, and fraud/security architecture, and has scaled organizations rapidly (30→180 in 12 months) by upskilling and building modern data/ML engineering capabilities.

Key Strengths

• Built telecom customer information “factory” dataset and 400-field feature table; created KDE-based profitability score that became a standard segmentation model
• Prototype-led execution to secure funding for semantic enrichment; delivered 35% increase in user engagement for document archive search
• Roadmap creation via listening tours, quick wins, and 3–6 month/12 month/18 month execution frameworks with continuous stakeholder socialization
• Led federated personalization/data-lake strategy at Walmart; improved open/click rates and reduced acquisition cost by 8%, informing ad spend platform
• Scaled org from 30 to 180 in 12 months by upskilling analysts to Python, building data engineering across 4 domains, and hiring 10 ML engineers
• Modernized brittle ETL into modern data infrastructure enabling growth marketing and ML targeting; reported churn reduction and repeat-buy lift
• Led app security architecture changes at Walmart to reduce fraud by 30% (card-add flagging, simulated mobile environment detection) and improved geo-directed mitigation

Experience

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