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Matthew Meyerson

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Coral Springs, Florida, United States

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Résumé


Jobs verified_user 0% verified
  • Walmart
    Senior AI/ML Engineer
    Walmart
    Jan 2022 - Current (4 years 10 months)
    • Led the design of large-scale demand forecasting pipelines (SKU × store × week) processing 100M+ records per run, improving forecast accuracy by 18-25% across core retail categories.
    • Orchestrated distributed ML training workflows using Spark and cloud-native services, reducing model training time by 40-50% and enabling weekly retraining at enterprise scale.
    • Crafted feature engineering frameworks for time-series, pricing, promotions, and inventory signals, supporting 10+ downstream ML models with consistent and versioned features.
    • Architected ML governance and monitoring frameworks (performance, bias, drift), decreasing post-deployment model incidents by 40%+ and improving audit readiness.
    • Applied LLMs and NLP t
  • DoorDash
    Sr.ML Engineer
    DoorDash
    Jan 2019 - Jan 2022 (3 years 1 month)
    • Developed and deployed real-time demand prediction models processing 10M+ events per day, improving order fulfillment and marketplace balance by 15-20%.
    • Created pricing and incentive optimization models leveraging elasticity and historical order data, influencing $50M+ in annual GMV.
    • Automated ML pipelines for training, validation, and deployment using batch and streaming data, reducing model release cycles from weeks to days.
    • Improved model performance and reliability through monitoring, drift detection, and retraining strategies, reducing production incidents by ~30%.
  • Overstock
    Machine Learning Engineer
    Overstock
    Jan 2016 - Jan 2019 (3 years 1 month)
    • Deployed demand forecasting and sales prediction models across 1M+ SKUs, improving prediction accuracy by 10-15% for core product categories.
    • Programmed customer segmentation and propensity models using behavioral and transactional data from 10M+ users, enabling more targeted marketing campaigns.
    • Architected and maintained A/B testing frameworks for pricing, promotions, and site experience, influencing $20M+ in annual revenue decisions.
    • Created reusable feature engineering pipelines for time-series, pricing, and customer behavior data, reducing model development time by ~35%.
  • Macy's
    Data Analyst
    Macy's
    Jan 2013 - Jan 2016 (3 years 1 month)
    • Developed complex SQL queries (joins, window functions, aggregations) to extract and validate 1M+ of POS and inventory records from enterprise data systems.
    • Analyzed $200M+ in annual sales and inventory data across 50-100 retail locations to support merchandising and replenishment decisions.
    • Crafted and automated 15+ recurring KPI dashboards and reports (sales, margin, sell-through, inventory turns), reducing manual reporting effort by 30-40%.
    • Identified seasonality and promotion-driven demand patterns that influenced 10-15% of markdown and allocation decisions for key product categories.
Education verified_user 0% verified
  • U
    Bachelor's Degree in Computer Science
    University of Florida, Gainesville, FL
    Jan 2009 - Jan 2013 (4 years 1 month)