• Assisted clients in tracking sustainability goals though determining products’ material usage and how much of each of those materials are more sustainably created.• Data Analysis & Process Improvement--- Created Python scripts to automate analyses, decrease processing time, and standardise data cleaning and analysis steps across clients.--- Enabled transition of analyses from manual, yearly processing to more automated, frequent, consistent, and reliable reporting.----- Reduced analysis time for ten-billion-pound client by 64%.----- Reduced analysis time for nine-billion-dollar client by 62%.----- Reduced analysis time for two-point-five-billion-dollar client by 43%.----- Reduced analysis time for three-million-pound client by 62%.--- Supported new database and web application design and creation.• Reporting & Documentation--- Created and maintained data visualizations and KPIs in Excel, Power BI, and Looker Studio.--- Documented Python automation scripts in Markdown through Ghostwriter, current and future process states in Visio, and analysis methodologies in Word, PowerPoint, and Excel.--- Reworked dashboard results to fit clients’ ad-hoc reporting needs.

• Analytics exposure through practical coursework in Data Visualization, Supply Chain Modeling, Computational Data Science, Foundations of Operational Research and Analytics, Foundations of Statistics and Data Science, Applied Machine Learning, and Healthcare Modeling.• Dissertation Project: Investigating the Effects of the Help-to-Buy Wales Scheme---Collected residential purchase price information from the public domain and cross-referenced with Help-to-Buy records to perform hypothesis testing of median prices of homes purchased with and without Help-to-Buy assistance. Statistical testing indicated in most cases there were no significant differences in median housing prices in Wales and that median prices stabilized during the time period of the Help-to-Buy scheme, which may indicate it has helped mitigate rising housing costs in Wales.---Presented test results with data visualizations created in Python’s Matplotlib and Plotly libraries.

• Collaborated with internal stakeholders and external customers to provide option related mass properties data and its airplane level impact.• Data Analysis and Process Improvement---Investigated historical data to identify trends used to develop and maintain Excel tools and VBA macros. These optimized and simplified the processes used to calculate, track, and format data, which enabled touch-time reduction of 20% as well as quality improvements.---Helped spearhead a web application and database development project as the stakeholder subject matter expert. Upon completion, the new interface will enable further touch-time reductions and quality improvements, and the new database will facilitate in-depth data analysis of the airplane-level effect of option weight data.---Highlighted an unexpected trend in airplane-level weight variation due to weigh location and led the reconciliation effort. Collaborated with the calibration and operational engineering groups to implement analytical adjustments, which improved data accuracy by up to .1% of the expected weight or 50% of the expected difference.• Reporting---Gathered and analyzed data and technical drawing information from multiple groups across the company to create airplane-level information for airlines.---Generated internal and external customer reports to support sales and marketing teams and demonstrate guarantee compliance.• Leadership---Implemented tracking system to focus on reducing upstream data quality defects, which improved first time quality by 10%.---Mentored new employees, exhibiting strong interpersonal skills and the ability to establish productive relationships quickly.

• Created a clear and concise process to capture testing requirements on hydraulic system drawings, which was utilized until the successful completion of the flight test program.• Communicated design information and requirements to international partners by preparing specification documentation.• Developed and maintained computer aided design models of instrumentation equipment in CATIA V5 and ENOVIA.

• Established polishing procedure for studying niobium grain boundaries and analyzed and interpreted partial pressure data to determine hydrogen outgassing.