Data Analyst
Resume:
Bradley Maillet
Bossier City, LA *****
************@*****.***
Authorized to work in the US for any employer
Work Experience
Manufacturing Database Analyst
Hardware Resources-Bossier City, LA
January 2023 to March 2025
• Developed standardized, automated on-time delivery reporting using R, Excel, and SQL for multiple product lines across four manufacturing facilities
• Helped achieve a 50% reduction in manufacturing lead times across 20 different plating finishes within the first year of employment.
• Helped create, provide data for, and maintain balanced scorecards for each facility as well as their individual value streams
• Worked closely with the brand-wide operations manager to provide analysis, data gathering, and insights as needed
• Performed data cleaning, transformation, and validation processes to ensure accuracy of analytical results
Database Analyst
Romph & Pou Agency-Shreveport, LA
February 2019 to August 2022
• Used RFM analysis to rank clients’ customers, as well as predict each customer’s lifetime cumulative spending
• Created individual survival analyses for each client to predict expected customer total transactions, lifetime length from first transaction, and lifetime end based on time between transactions.
• Developed a daily revenue forecast with a monthly accuracy of 99.5%
• Incorporated data visualization techniques to support relevant analysis points
• Collaborated with account services to create end-to-end processing that provided supporting analysis to further clients’ business goals and campaigns
• Designed, built, implemented, and maintained performance reports for clients using SSRS, Python, and R
• Created ETL processes to provide enterprise-wide organization and reporting of raw, unstructured data Forecast Analyst
Louisiana Tech University Foundation-Ruston, LA
November 2017 to August 2018
• Accessed Federal Reserve Economic Data and Bureau of Labor Statistics databases, used R and RStudio to forecast macroeconomic indicators for the state of Louisiana.
• Forecasted wage, unemployment, and labor force data for the state of Louisiana.
• Forecasts are publicly available for business and community leaders, funding was provided by the Louisiana Tech Foundation.
Education
Business Economics (Bachelor of Science)
Louisiana Tech University-Ruston, LA
August 2018
Skills
• R
• Linear Regression
• Excel
• SQL
• Analysis skills
• Forecasting
• Data Analysis
• SSRS
• Statistics
• Analytics
• Statistical analysis
• Python
• Data Retrieval
• Data Visualization
• SQL Server Management Studio
• Data analysis skills
Additional Information
References:
James Mcdonald - Supervisor (Hardware Resources)
Jennifer Calloway - Coworker (Romph & Pou Agency)
Devin Gardner - Personal Reference
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