Data Automation and Analysis: Automated, preprocessed, and analyzed data via Python, reducing transportation costs by 15%Statistical Monitoring: Utilized control charts to monitor performance and identify special causes, determining the effectiveness of various processesData Visualization: Leveraged Power BI to monitor inventory levels and track KPIs such as driver performance, tons transported, and costLogistics: Oversee the dispatch of 20+ drivers for the transportation of raw materials and customer deliveries, optimizing routes and schedules to maximize productivity

Trade and invest in stocks by analyzing both the fundamentals as well as the technical side of stocks to determine their stability as a company as well as their room for growth

Eased transition of new supervisor into the 20+ concession stands at Texas A&M’sstadiums, including Kyle Field, Reed Arena, Davis Diamond, and Ellis FieldConducted weekly inventory of supplies and equipment, oversaw maintenance andcleaning of stands, and ensured compliance with safety and sanitation regulationsManaged 20+ employees, including training and enforcing company policy

Data Analysis: Conducted comprehensive data analysis to identify key factors contributing to the success of El Paso’s water diversification projects Research Organization: Utilized Microsoft Excel to organize, categorize, and analyze over 100 research articles, facilitating data-driven insightsCase Study Writing: Developed a detailed case study on sustainable water projects in El Paso, highlighting critical findings and recommendations