Ben Lewis

WhatsApp Business Integrity - Trust and Onboarding Led the development and implementation of an extensible trust schema that controlled messaging limits, which resulted in a 400% increase in early messaging limits for WhatsApp businesses without compromising integrity. Eliminated redundant onboarding checks which reduced median onboarding time for high revenue businesses by 33%, resulting in days saved for each onboarded client. Created enforcement penalty dashboard for engineers to rapidly prototype changes to human review process, ultimately increasing automated review percentage from 40% to 50% of policy reviews. Implemented reusable dataset for policy violations to accommodate new laws from countries to cover 30% of WhatsApp Businesses.

Generated retail analytics reports projected to increase revenue by 2-3% per store through inventory planning and placement. Developed end-to-end data pipelines for computer vision frame data in Microsoft Azure.

Lead engineer for company’s flagship analytics product. Managed Data Engineering team consisting of myself and two other engineers developing cloud data infrastructure and OEM BI solutions. Architected complex, enterprise-scale ETL processes through Google BigQuery and Qlik Sense unlocking valuable, previously inaccessible data by combining disparate datasets.

Developed key reports and use cases for company's first analytics product, projected for over $1 million in yearly revenue. Piloted enterprise analytics program and produced interactive R Shiny dashboards and KPIs used daily by 20% of the company and reduced time spent on reporting by 75%.

Product manager for responsive site redesign which became the most popular project requested by clients, accounting for 30% of all projects in 2017. Completed cost benefit analysis on report requests and created substitute CSV exports, saving hundreds of developer hours.