Rex Burdette, Mba Email & Phone Number

Jasper, In, Us

Cleveland, Ohio, Us

Process Improvement Leadership● Customer complaints (#1 KPI) reduced by 49%. ● Achieved a 48% improvement in lead time at Hot Mill through PFMEA and Process Audits. ● Drove #1 Defect (Lamination) down by 63%.● Generated a 45% improvement in yield by working closely with Operations using A3s. ● Reduced scrap by 52% by driving a major culture change within the quality department, changing from reactive to proactive. ● Personally conducted AS9100 and IATF 16949 Quality Systems Monthly.● Personally conducted Process Audits for LPAs weekly● Secured a 39% decrease in automotive customer claims by minimizing faulty parts. ● Mentored ASQ certification as Black Belt for three of my direct reports.● Integrated lean, Six Sigma, and quality systems across a multi-operation, multi-site corporation specializing in the production of aerospace and automotive aluminum.● Personally led kaizen events and established a monthly cadence.Data Analytics Projects● Automated data extraction and analysis using SQL and Python, reducing reporting time by 45% and accelerating decision-making processes.● Designed and implemented an automated data pipeline leveraging Python and SQL, cutting manual data entry by 90%, saving over two hundred labor hours per month.● Developed real-time and weekly dashboards in Power BI and Tableau, integrating SQL and Python to enhance KPI tracking and communication. This provided department heads with real-time insights, reducing decision-making time by 60% and improving project turnaround by 25%.● Cleaned and transformed raw data using SQL, improving data quality by 25% to enable more accurate analysis.● Implemented predictive maintenance models using machine learning algorithms, reducing equipment downtime by 45% and delivering annual savings of $750,000 in maintenance and operational costs.● Demand Forecasting and Inventory Optimization: Leveraged historical data and machine learning for demand forecasting, reducing excess inventory by 30%.

Bloomington, In, Us

Process Improvement Leadership● Generated $4M savings in external failure costs in addition to realizing $2.7M in annualized savings by driving the targeted reduction in non-value-added activity.● Shortened feedback loop by 70% from the field to operations and engineering for customer issues with product and installation by utilizing Agile and Scrum methodologies and Implementing EtQ quality system and mobile device connections. ● Yielded a 43% reduction in customer complaints by enhancing production quality. ● Realized a $3.1M reduction in costs due to poor production quality. ● Standardized engineering processes to translate customer drawings to floor schedules and reduced time by 70%.● Fueled a 32% improvement throughout by implementing a work content Heijunka Box schedule. ● Led and sustained cultural change of continuous improvement across three facilities.● Implemented operational excellence and continuous improvement, problem-solving culture in operations, engineering, and supply chain via lean and Six Sigma strategies. Data Analytics Projects● Automated data extraction and analysis processes using Python, reducing reporting time by 45% and enabling faster decision-making.● Developed a process audit tracking application using React, JavaScript, Python, SQL, and Tableau, featuring a web-based user interface and real-time dashboard to enhance process compliance.● Supply Chain Risk Analysis: Used historical supplier data and external factors (e.g., market disruptions) to predict supply chain risks, improving material sourcing and reducing delays by 30%.● Quality Control and Defect Prediction: Implemented machine learning models on production data to predict and prevent product defects, reducing defects by 60% and improving overall product quality.

Toledo, Oh, Us

Process Improvement Leadership● Customer complaints (#1 KPI) reduced by 52.2%. ● Recognized for improving customer designated characteristic capability by 20%.● Used value stream mapping and standard work to increase lab throughput 25%.● Achieved IATF 16949:2016 in August 2018.Data Analytics Projects● Automated data extraction and analysis processes using Python, reducing reporting time by 45% and enabling faster decision-making.● Melt Flow Index (MFI) Optimization: Analyzed process variables such as temperature, pressure, and resin properties to optimize MFI, improving material consistency and reducing product variability by 35%.● Cycle Time Reduction in Injection Molding: Used real-time machine data and statistical process control (SPC) to optimize injection molding cycle times, reducing production time per part by 25% while maintaining part quality.● Extrusion Process Stability: Monitored and analyzed screw speed, barrel temperature, and die pressure in extrusion processes to minimize melt fractures and improve dimensional stability, reducing defect rates by 35%.

Jasper, Indiana, Us

Process Improvement Leadership● Netted a 75% reduction in costly delamination defects, reducing production overhead. ● Achieved a 60% reduction in customer complaints volume by driving cultural change of continuous improvement and data-driven decision-making. ● Slashed internal failure costs by +50% and reduced field response times by +75% by initiating and leading a digital transformation project. ● Decreased damaged products by 40% through Kaizen Events and Process Mapping. Data Analytics Projects● Implemented real-time production dashboards using Power BI and SQL, improving equipment effectiveness by 15%.● Built predictive maintenance models with machine learning in Python, reducing equipment downtime by 50% and maintenance costs by 30%.● Developed demand forecasting models using Python and Power BI, reducing excess inventory by 25%.Supply Chain and Logistics● Developed predictive analytics models using Python and SQL to identify supply chain risks, reducing delays by 30%.● Implemented route optimization algorithms using Python and SQL, reducing transportation costs by 20% and delivery times by 15%.● Developed inventory optimization models in Power BI and Python, leading to a 25% reduction in stockouts.● Created predictive models for supplier lead times using machine learning in Python, improving on-time delivery rates by 30%.Marketing● Conducted A/B testing using Google Analytics and Python to optimize email marketing campaigns, increasing conversion rates by 18%.● Developed customer segmentation models in Python and Power BI, improving targeted marketing strategies and increasing sales by 25% for key consumer product lines.● Utilized customer lifetime value (CLV) analysis in Python to identify high-value segments, increasing retention rates by 22% through targeted marketing efforts.

Master Of Business Administration (M.B.A.) - 4.0 Gpa, Business Administration And Management, General

Bachelor'S Degree, Chemistry And Criminal Justice - Double Major

Professional Certificate, Ibm Data Science Professional Certificate