Driven Brands

Nov 2021 - present

Senior Director, Data Operations and Engineering

Leading a newly created big data organization to encompass all architecture, engineering, governance, and data strategy needs across a multi-brand enterprise. I manage three cloud environments and all data therein across Azure, AWS, and Google Cloud. My org manages over 400Bn records of data while developing cutting-edge platform capabilities in GCP.

Selected Highlights:
• Reinvented 3 big data platforms (GCP, AWS, Azure) to create single source of truth
• Reduced data rework and recurring technical debt by 85%, increased analytics time-to-market by 40%
• Own operations, finances, and strategy for 10 key technology partnerships to create cutting edge platforms capabilities
• Created new forecasting/planning tool for all partners saving $2M+
• Utilize deep data and analytics technical knowledge to set data onboarding requirements and
insights for 180+ merger and acquisition (M&A) activities in 6 different industries
• Leverage data and analytics to create new strategies for business growth founded in data
science.
• Spearhead Cost Effective Capital Projects: Partnered with executive team to set vision and strategy for $11M budget for operations and customer data services across 6 verticals.

Ford Motor Company

Nov 2016 - Nov 2021

Data Engineering Manager, Operations Analytics

I manage a great team of data engineers as a servant leader working on key initiatives for Ford globally. I foster a culture of growth, development, and inclusion while contributing to the work when my team is stretched thin. I utilize Agile methodologies, and SCRUM to ensure projects stay successfully on track.

Selected highlights:
•Team Leadership: Manage 13+ data engineers with technical mentorship.
•Technical Strategy and Vision: Redirected several key initiatives to support enterprise goals and deliver critical data products ahead of schedule through technical expertise and vision.
•Business Partnership: Lead global data engineering teams to align with critical business goals and support timelines.
•Enterprise Data Leadership: Lead the strategy and set a roadmap for the technical implementation of an enterprise-wide store of big data products.

Lead Data Scientist, Ford Pass & Lincoln Way Analytics

I was the lead data scientist for the global FordPass and Lincoln Way app analytics team. I managed the team's analytics products through guidance and agile methodologies.

Selected highlights:
•Global People Leadership: Manage 7+ data scientists with technical mentorship
•Increased Revenue Focus: Spearhead nation-wide analytics efforts aimed at sending safety alerts to members and promoting revenue streams.
•Driving Brand Loyalty: Increased fraud detection 60% through integration of 5 different data sources.
•Defining Performance Metrics: Manage team of 6 data scientists, 2 consultants, and 2 supervisors to define key performance indicators.
•Inform Marketing Strategies: Lead international team of 5 data scientist to create analytic product to predict customer churn and provide insight into re-engagement campaigns.

Senior Data Scientist, Customer Innovation Center

I led dashboard projects, data engineering efforts, and machine learning projects to deliver high value products within customer analytics.

Selected highlights:
•Drive Business Strategy: Serve as lead manager for 60% of all initiatives with responsibility for executive communication, timelines, budgets, and staffing for a team of 6 data scientists.
•Improve Customer Insights: Led a team of 6 data scientists to process billion-row customer data sets and align 10 different data sources to provide data synergies. Reduced report timing 75%.
•Ensure Supply Chain Integrity: Reduced fraudulent orders by 20% and ensured accurate supply chain management.

Data Scientist, Data Operations

I owned the entire process for ingesting, processing, transforming, and mastering very large data sets into Hadoop and other big data ecosystems.

Selected highlights:
•Business Decision-Making Support: Joined Ford as part of operation team focused on key projects including business unit reporting and data mastery.
•Revenue Creation - Big Data Transformation: Led cross-functional team of 15 to create 70B+ row core competency data product. 1st from Ford to be sold as a $10M multi-year revenue source.
•Reduced Complexity: Reduced complexity in buildable configurations saving millions of dollars. Created tools in Java and Python to analyze complex multivariate decision diagrams.
•Business Insights Dashboard: Assisted business teams with insights into contribution margins, variable marketing, and global profits. Reduced unwanted variable marketing stacking by 25%, saving millions.

DataCamp

Aug 2019 - Present

Course Instructor, Credit Risk Modeling in Python

I developed all the materials and curriculum with a focus on teaching data science through interactive coding exercises on DataCamp. My class is Credit Risk Modeling in Python which focuses on value-driven machine learning analytics for credit risk and portfolio analysis.

Selected highlights:
•My class is rated in the top 10% of all classes on the platform
•12000+ students to date

LG&E and KU Energy

May 2015 - Jul 2016

IT Intern III, Business Intelligence Platforms

I created custom dashboards in .Net to monitor and deliver key performance indicator metrics for large data processing systems to IT customers. I also leveraged recent research to develop probabilistic machine learning models to determine predict power outages causes and associated downtime.

Yum! Brands, Inc.

May 2014 - August 2014

Intern, Global Security and Compliance

I developed my department's site on Yum!'s corporate knowledge base in SharePoint 2013 which is available to Yum! employees across the globe. I worked with a great team that includes global security and compliance, and global security operations.

University of Michigan, Ross School of Business

Masters, Business Administration ‘25

MBA Candidate

University of Louisville

Computer Information Systems ‘16

Minors: Entrepreneurship, Management

In today’s global economy we are seeing an extremely high demand for professionals with information systems expertise. In this environment, where every business function is supported by computers, user support, programmers, and analysts are not the only careers where an information systems background is needed. Today more than ever, information systems is of strategic business importance and managers with this background are highly sought after.