- Gave close technical and strategic advice to marketers, engineers and executives at enterprise customers representing over $10M in annual revenue, contributing to ~$2M in increased annual revenue- Provide strategic and technical guidance through long term working relationships to customer teams (Marketing, Engineering and Executive) on maximizing the value of Iterable's enterprise communication platform- Guided internal Customer Success Managers and Technical Support on strategic and technicalusage and implementation questions in order to renew and expand customer contracts- Built integrations, demonstrations and proofs of concept on new and innovative use cases for customers- Acted as a customer voice to convey customer business vision to Product team, worked withProduct to ensure responsiveness to customer demand- Worked across Customer Success, Product, Engineering and Documentation teams to develop,standardize and update internal and public documentation and build institutional knowledge onbest practices- Acted as thought leader and team leader improving S.A. team processes and onboarding andcoaching new team members- Acted as a subject matter expert on various aspects of the software platform, integrations and API endpoints- primarily post-implementation / support for all phases of the customer lifecycle

- | Social Data Practice (2018-2021) (post sale implementation)--> 25+ projects delivered on-time + on-budget--> Industries: BI Software, Food/Beverage, Cryptocurrency Services, Entertainment, Telecom, Banking, Insurance, University, Chipsets--> Lead Consultant implementing enterprise-grade social media management platform--> Drive project from client introduction through all phases of project delivery cycle: kick-off, discovery, build, test, normalize (BUAT) --> Lead technical implementation of platform, guide technical integrations into client tools, project manage / work with / present to client teams (remote and in-person), lead multiple weeks of live training and workshopping to empower client to obtain social data supporting client's business objectives--> Build the practice: onboard + mentor new team members, contribute to delivery process improvement, disseminate product knowledge, advise and provide support on configuration / technical build and design questions - | E-Commerce Insights Practice (2020) (post implementation optimization / support)--> Client: Air Canada--> Optimize and support Glassbox environments for two different corporate travel business groups--> Refine configuration of Glassbox Javascript to ensure accurate data set--> Produce e-commerce performance reports using Glassbox attributes and data visuals--> Consult weekly with client LOB managers on ecomm trouble-shooting questions, value ideas, and avenues to leverage more Glassbox capabilities

- | Cleargoals Batch Offer Loader [BOL] (Java web application) (2017)--> Client: Bell Canada--> worked as part of a team to create a web tool with a user interface to modify Oracle SQL database tables in client's IBM Campaign instance.--> tools: Java, Java Spring Framework, Maven, Oracle Weblogic, JavaScript, JSP, CSS, HTML, Github, Eclipse IDE- | Cleargoals Interact Service Layer [ISL/XLOB] (Java web service) (2018)--> Client: Bell Canada--> worked as part of development team to create new functionality for an existing Java web service to interact with the client's IBM Interact instance and client's customer service kiosk end point.--> worked as part of test team to construct and execute various test suites to validate new functionality against business requirements--> tools: Java, XML, SOAPUI, Oracle Weblogic, Github- | IBM Tealeaf (Javascript library and Java-based web application instrumentation) (2018)--> Client: MD Financial--> worked with client development team to instrument Tealeaf javascript library in client's environment--> worked across client and IBM resources to understand and implement optimal library configuration for client specification

Objective: reduce manual processing of long scanned PDF documentsWrote Python script to create and extract PDF/A text layer from scanned PDF documents using Google’s Tesseract OCR Engine- Wrote Python server hooks into OS for file I/O- Created text-parsing algorithm to obtain target document content- Implemented Python Flask server, routes, and front end to display output- Styled with Google Material Design Lite

12 weeks of immersion at WDI with multiple languages prepared me for a lifetime of continued learning, creating fantastic technology that improves lives and businesses.