Taught a group of students the principles of probability and statistics and how to solve statistical problems using Python. Developing new course in probability and statistics for a Masters in Applied Artificial Intelligence program designed to help students learn the fundamentals of both Python and probability and statistics.

• Created an AI web application to identify anomalous invoices that included a data pipeline in AWS that increased efficiency
• Developed an effective algorithm for image analysis that helped improve performance of an application
• Prepared a full text analysis of political speeches and tweets to determine sentiment, emotion, and lexical diversity
• Created a custom algorithm to group users in an email list based on interactions with emails and the company website to aid in marketing efforts

• Developed custom dashboards that helped automate marketing and sales reporting, saving countless hours of manual work
• Worked with cross-functional partners to build out reporting to help in marketing efforts and increase sales and retention
• Built a dashboard that led to a direct upsell and increase in marketing spend from a key client.

• Developed improved gross margin forecasts using both R and Python that predicted within 1% of actual gross margin multiple months. Discovered factors impacting gross margin.
• Managed gross margin dashboards and prepared a monthly report on gross margin performance

• Produced a forecast for common call center metrics using Facebook's Prophet algorithm • Gathered and analyzed data to answer business questions and presented findings
• Created R Shiny dashboards to visualize findings and forecasts
• Implemented an anomaly detection algorithm for interactions based on category