I am a data leader who helps companies leverage their data to reduce costs and increase profits. I strive to build data culture by developing a bridge between business and technology.
Overview
17
17
years of professional experience
Work History
Director of Data Services
State of Oklahoma
09.2020 - Current
Implementing the State’s data strategy
Building and providing strategic direction for the Data Services Team
Leading the effort to build the State Data Platform and enabling data driven decisions
Optimizing data services delivery within the constraints of the budget
Managing employees in a diverse range of disciplines: data science, analytics, governance, reporting, engineering, and DBA
Holding employees accountable for delivery of services and projects within an Agile environment in the above disciplines
Driving the State’s data governance effort across multiple agencies
Providing framework for managers to successfully deliver enterprise-scale projects such as Workday/Brightpath
Cut costs by implementing an automated work ticket assignment system using a large language model solution
Streamlined manual purchase card review using a classification model to free up labor and cut cost at the State
Managing vendors and holding them accountable for project work
Ensuring solutions adhere to state architecture and standards
Enabling employees’ success through training expectations, open communication, and positive work environment
Performing outreach to agency staff, executives, and other key stakeholders (governments, private businesses, conferences) to present data services and the state data strategy
Reaching out across towers on complex data-oriented issues: encryption via security, data archiving and retention via apps team, legacy data, legacy reporting, provisioning and security for state data platform, API integration, monitoring, data science and modeling
Providing vision and guidance on key data initiatives: Health Information Exchange, State Data Platform, Health Contact Tracing, DHS True North Initiative, etc.
Data Science Manager
Sonic Drive-In/Inspire Brands
02.2016 - 06.2020
Polaris Project: Acted as product owner for Sonic recommender system and lift analysis in the Polaris 1:1 marketing initiative
Aligned key stakeholders including Sonic 1:1 marketing team, data engineering, data science, and measurement analysts
Provided prioritization of goals for machine learning engine and coordinated lift analysis between Sonic, Inspire Brands, and Boston Consulting Group
Directed and enabled adaptation of Recommender System code to align with key business objectives
Commercial Revenue Project: Tasked by the Chief Marketing Officer to increase revenue driven by commercial executions
Determined key revenue drivers in commercials through survey data
Quantified survey data and used a random forest model in R to predict revenue and determine highest variable importance for desirability
Recommendations were implemented resulting in major changes to commercial shooting; commercial revenue increased by 5% in the first quarter implemented
Customer Attrition Model Project: The data science team worked in conjunction with the data engineering team to produce a machine learning model capable of identifying which mobile customers were about to reduce their buying frequency
Created a model utilizing a customized version of the BOYD Python package (translated to Scala for distributivity), to output the likelihood a customer will visit based on recent purchase history, frequency, and pattern of their purchases
Presented the model to senior leadership and key stakeholders to achieve awareness of its capabilities, resulting in the implementation of the model through the deployment platform
Managed the relationship between the targeted marketing team and the data science team to implement this feature as well as other features into a targeted marketing strategy
Direct Reports: 1 data scientist, 1 data analyst, 3 data science interns
Supervised, trained, and mentored employees in data and analytics ensuring successful completion of projects and tasks.
Data Analyst
Sandridge Energy Inc
10.2012 - 02.2016
Partnered with production engineers, foremen, and IT to collect, organize, and analyze financial and production data to optimize performance and production
Developed automated reports using SQL queries to analyze oil well production
Led projects analyzing well failures based on bimodal probability distributions and well interference patterns.
Instructor
ITT Technical Institute
09.2007 - 09.2012
Educated a diverse range of students in mathematics, physics, and general science
Improved student performance in the classroom by integrating theory and hands-on practice
Mentored and tutored students to help them reach their academic and personal goals.