Andrew Duffle: Co-Founder in Portland, OR

Through experience in web analytics and applied machine learning identified the need for a solution that could offer the raw data need for effective machine learning. • Developed a simple to deploy JavaScript tag that allows website to gather user level data that is delivered to AWS for machine learning projects. • Consult with customers on data engineering and machine learning projects leveraging the platform. • Developed additional products built on the platform to help customers enhance and leverage their data. • Work with AWS and Google to integrate into new personalization products targeted for the bring your own data market place.

Apply data in new and innovative way to provide higher level understanding of business problems and build better customer experiences. Provide data leadership as we transition through site relaunches and organizational restructuring, moving from a traditional wholesale brand to a direct-to-consumer brand. • Developed and maintain companies consolidated data warehouse utilizing advanced serverless processing and cloud-based AWS technologies. This has allowed the company to have one central view of all their data and to date has had zero outages or processing delays. • Developed advanced algorithms based on data warehouse that are used to deepen relationships, strengthen loyalty and personalize interactions with customers. • Developed advanced data mining and forecasting functionality that allows our Purchasing, Merchandising and Marketing departments to competing in highly competitive markets efficiently and at a scale not possible otherwise. • Manage team responsible for ecommerce platform feature adoption and third-party technology evaluation ensuring the direct-to-consumer business is on the leading edge of world class customer experiences. • Manage team of UX/CX professionals focused on enhancing customer experiences and ensuring the voice of the customer is echoed during our decision-making process. • Manage team of analysts responsible for identifying, forming measurement strategies and compiling recommendations to improve KPIs across the business and regions. • Function as a center of excellence for international teams in the areas of data science, analytics and UX/CX. • Provide strategic leadership for third party market places for onboarding until a business own is identified. Have successfully reintegrated Amazon and Zappos in the US (~$50M), Introduced Zalando in EU regions (~$10M) and working to transition TMALL in Japan.

Worked with C-level executives to reengineer how APMEX did business. Built a team of data driven decision experts and went department by department helping the company transition from an outdated gold and silver retailed to a $1.5B eCommerce and software company. In this time the company grew to the #1 specialty retailer and #42 overall on the Internet Retail watch list. • Built APMEX’s first data warehouse consolidating data from online sales/purchases, customer service call/email logs and eBay transaction. • Led team focused on building specific BI and OMS software for the gold and silver industry. Later licensed and sold as additional revenue streams for the business. • Implemented the first CMS and Personalization strategy used online and in email providing better customer experiences and boosting customer loyalty. • Transitioned Marketing to segmented marketing campaigns and an LTV vs CPA model allowing a broader customer reach and more flexible budgets while maintaining efficiency and accountability. • Led the Marketing department through two VP transitions in a thirteen-month between the NY and OKC office. • Led Operation department while implementing new pick/pack algorithms boosting the team’s throughput by 23% • Implemented new heads up dashboards in Operations with real time KPI’s allowing teams to manage more effectively and monitor customer SLA’s. • Worked with Customer Service implementing heads up dashboards for wait times, customer feedback, sales targets and scorecard metrics. • Built voice to text software that allowed the company to use machine learning to mine phone calls with chats and emails for customer information and to audit Customer Service for score cards. • Built scoring system for high demand SKUs in Merchandising and transitioned the KPIs from a pure inventory turn target to a Gross Margin Return on Investment, allowing the Merchandising team to balance inventory turns and margin based on the score of the SKU. • Implemented a machine learning system to auto recommend reorder points and pricing based forecasted demand for SKU’s. This allowed Merchandising to focus on A and B SKUs while the algorithm managed other SKUs. • While leading the Finance department Build and/or Implemented new technologies including alternative payment, ORC technology, machine learning fraud prevention, and automated forecasting for hedging market fluctuations.