Cody Wilson Email & Phone Number

Oxford, Mississippi, United States

Oxford, Mississippi, United States

Developed ETL pipelines from multiple government data sources using Powershell and SQL, to report on various types of geographical data.Build reports from complex SQL database to suit client needs with short turn around time.Analyze version control data to identify highly dynamic reports and clients with largest change request frequency.Transform and optimize legacy queries by as much as 60%, while also improving readability.Analyze automatic character recognition results to drive creation of rules to increase model accuracy.Develop and maintain data catalog/inventory, increasing efficiency and eliminating knowledge gaps related to client-sided reporting needs.

Memphis, Tennessee, United States

Build Looker/Google dashboards to instantly gauge production performance, schedule compliance, and other KPI's, using Python and various Google APIs. Develop and automate email-based reporting system with Python to aid management in staffing & production decisions.Perform statistical analysis on production trends, employee metrics, and model accuracy to aid staffing decisions and work scheduling with R.

Memphis, Tennessee, United States

Utilize LEAN and 6S initiatives to create a more efficient and cost effective workplace, leading to 30% increase in productivity. Lead teams to find and implement solutions to everyday problems, increasing throughput and efficiency in the shop. Analyzed productivity numbers to show patterns in workflow.

Zanesville, Oh

Breakout Project: Analyzed public production data in West Virginia, Ohio, and Pennsylvania to determine statistical classifications of wells by using Python. Utilized parameters such as geographical location, completion style, company, well characteristics, and formation.Monitored data and resource usage during hydraulic fracturing process with data acquisition software.Performed complex calculations to determine required amounts of additives, performed quality assurance and quality control tests to verify correct levels of chemical additives.

Developed a specialized data visualization program in Python, which utilized libraries such as Pandas, Numpy, and Matplotlib to discover trends in large data sets.Analyzed millions of temperature, acoustic, and production data points to identify patters, develop correlations, and predict future outcomes. Performed research in accordance with MSEEL.org and co-authored scientific paper in the field of fiber-optic technology applications in the oil & gas industry (Kavousi, P. G., Carr., T. R., Wilson, C., Keithan, M. (2018). Production distributed temperature sensing vs. stimulation distributed acoustic sensing for the Marcellus Shale).

Powhatan, Va

Played crucial role as team member by operating equipment, helping with maintenance, and developing longevity plans for machinery. Aided in blasting, recovery, and manufacturing of the quarry.

Master Of Science - Ms, Data Science

Specialization in Statistical Machine Learning

Bachelor Of Science - Bs, Petroleum & Natural Gas Engineering

Activities and Societies: Tau Beta Pi, AADE, SPEMinor: Geology Summa Cum Laude (GPA: 3.8)