Gordon Willingham, Ms Email and Phone Number

We specialize in providing business intelligence tools and solutions for small and large organizations in across various industries.

Contributing author to Python Interpretable Machine Learning(PIML) toolbox for machine learning model development and validation. Created User Guide for PiMLs interpretable machine learning models such as Generalized Linear Models, Generalized Additive Models, Decision Trees, and Model Resiliency Tests. Developed Machine Learning models, leveraging Relu-DNN Neural networks, and ensemble models like RFs, XGB2, and EBMs.

Developed, Tested, and Implemented Conversational Bots, and resolved production/implementation bottlenecks.Developed conversation automation for strategic enterprise clients across different industries, complying with HIPAA and GDRP.Leveraged data analysis tools, to create data-driven conversation automation, and reporting for my executive team.

Led consultations with Enterprise clients on Conversational AI implementations and identifying the fastest time to value automation, helping close $2.5 million in new logos in 2021.

Trained new Digital Development Representatives to effectively showcase IBM SAAS Solutions, and provide value to clientsPresented IBM SAAS solutions at over 25 client events like Shoptalk, Digital Summit, National Retail Federation, and Dreamforce.Gained certifications in Python, SQL, Javascript, Kubernetes, and Blockchain, and led North America in sales Q1 of 2019.

Consulting business leaders, in the best practices for efficient logistics management.

A public relations advocate, connecting clients with ShareFile a market leading provider of secure cloud based document sharing.

I pursued a Bachelors’ in Economics at NCSU. I became an active member of several campus organizations; CLEO Scholars, Collegiate 100 Service Organization, and intramural Basketball and Table Tennis. I also became proficient in Java programming, and Guitar.

Actively engaging the Triangle's small and medium sized businesses, in an effort to lower credit and debit transactions costs.