Steven E Jordan

Data

About

Hello, my name is Steven Jordan and I am a data science, analytics, and management professional in the Charlotte, NC area. I am currently a Data Scientist at Driven Brands supporting the International Car Wash Group while pursuing a Masters Degree in Data Science and Business Analytics at the University of North Carolina at Charlotte.

  • Data science and analytics professional with over 7 years of experience
  • M.S. Data Science and Business Analytics (Dec 2021)
  • U.S. Army Veteran
  • Husband and father of two
  • Located in the Charlotte, NC Area

Skill Set

High Level

Leadership 7 Years
Statistical Analysis 7 Years
Data Visualization and Presentation 7 Years
Data Mining 6 Years
Data Governance and Management4 Years
ETL 4 Years

Technical

SQL (Oracle, Teradata, Impala, Hive, BigQuery)6 Years
Tableau Desktop and Server6 Years
Python 4 Years
Machine Learning 3 Years
R 2 Years
Neo4J & Graph Data Science1 Year

Professional Training and Certificates

  • Tableau I, II, III, and Visual Analytics
  • Beginner, Intermediate, and Advanced SQL (American Airlines)
  • Data Science with Python (North Carolina Data Science Conference 2019)
  • Python for Data Science (UNCC)
  • R for Data Science (UNCC)
  • Statistics for Data Science (UNCC)

Portfolio

Iowa Whiskey Distribution - Neo4J
Superstore Dashboard - Tableau
NFL Attendance - R Shiny

Resume

Professional Experience

Driven Brands

Data Scientist - Driven Insights

Dec 2020 - Present
  • Led a team of two Senior Data Analysts managing daily tasks, coaching and mentoring.
  • Headed a project to clean, organize and standardize POS data for a new carwash division. Utilized Airflow, SQL, and Python
  • Created a customer segmentation algorithm utilizing k-means clustering along with RFM (Recency, Frequency, and Monetary Value) used for targeted marketing campaigns.
  • Built and implemented a customer churn model to understand member retention and allow for proactive marketing campaigns for high-risk customers.
  • Constructed and maintained a graph database in Neo4J finding insights in customer behavior, journeys, and marketing responses.

Ingersoll Rand

Data Science Manager

Mar 2019 - Dec 2020
  • Utilized Python and SQL to build and maintain an auto regressive integrated moving average (ARIMA) model to forecast revenue for the company.
  • Built a company wide survey to test hypotheses related to data governance and management. Used the R programming languge to look for correlations and visualize results for presentation to senior management.
  • Worked as part of a team to organize a single data strategy for the business unit.
  • Created SQL queries and Tableau dashboards to organize and present data to senior management.
  • Utilizing Python and SQL to create ETL processes for moving data to Cloudera and developed tables for easier access to data needed for analytics.

American Airlines

Senior Analyst - Maintenance Optimization

May 2016 - Mar 2019
  • Identified “Opportunity Hour” where largest improvement was possible for line maintenance delays at each airport and worked with local management to develop action plans to mitigate – delays cut by 30% during that hour
  • Used Tableau/Python/SQL for analysis of Line Maintenance KPI’s for presentation to senior management
  • Tableau and data analytics subject matter expert for Line Maintenance department
  • Mentored and led junior data analysts

Senior Analyst - Customer Experience Consulting

Nov 2015 - May 2016
  • Partner closely with MIA Sr. Management on Phase 1 of the “Remake MIA” initiative focusing on delay improvements, identify operational challenges and develop data driven solutions for presentation to executive level management
  • Perform analysis of revenue collection rates and bag fee waivers and developed project proposals to drive revenue generation opportunities; such as military ID training to increase collection rate by $11 Million per year
  • Internal consulting on various data projects to assist with data collection, manipulation and presentation
  • Mentored and led junior data analysts

Project Manager - Business Analysis

Jan 2014 - Nov 2015
  • Led cross-functional teams to consolidate, replace, and improve performance of airport vendors.
  • Defined and tracked metrics to improve operational performance including the creation of a ramp vendor scorecard
  • Developed business case justifications through financial and forecasting analysis for new and recurrent contracts


U.S. Army

Team Leader

Jan 2007 - May 2010
  • Rifle Team Leader Alpha Company 4th battalion 3rd Infantry Regiment “The Old Guard”
  • Awarded the Army Achievement Medal for leadership

Education

University of North Carolina at Charlotte

M.S. Data Science and Business Analytics

Jan 2020 - Dec 2021
  • Big Data Design Storage and Provenance
  • Big Data For Competitive Advantage
  • Visual Analytics
  • Advanced Business Analytics
  • Business Intelligence and Analytics
  • Consumer Analytics
  • Business Project Management
  • Network Science (in Neo4J)
  • Social Media Marketing and Analytics
  • Applied Machine Learning
In Pursuit

Embry-Riddle Aeronautical University

B.S. Aeronautics

Aug 2010 - Aug 2013
  • Double Minor in Business Administration and Aviation Law

Contact