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I am a data-driven engineering and supply chain professional with 8+ years of experience analyzing large datasets to generate actionable insights that improve forecasting accuracy, inventory strategy, and operational performance. I have a strong background in statistical analysis, pattern recognition, and translating analytical findings into clear, actionable recommendations for cross-functional teams. I thrive in remote, project-based environments and enjoy applying analytical rigor to ambiguous business problems. I am comfortable working independently and collaborating with engineering, manufacturing, and leadership to drive data-informed decisions that optimize performance and reduce risk.…I am a data-driven engineering and supply chain professional with 8+ years of experience analyzing large datasets to generate actionable insights that improve forecasting accuracy, inventory strategy, and operational performance. I have a strong background in statistical analysis, pattern recognition, and translating analytical findings into clear, actionable recommendations for cross-functional teams. I thrive in remote, project-based environments and enjoy applying analytical rigor to ambiguous business problems. I am comfortable working independently and collaborating with engineering, manufacturing, and leadership to drive data-informed decisions that optimize performance and reduce risk.

Phillip Daniel Bertke

Data Scientist, Data Analyst, Data Visualizer, +2

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I am a data-driven engineering and supply chain professional with 8+ years of experience analyzing large datasets to generate actionable insights that improve forecasting accuracy, inventory strategy, and operational performance. I have a strong background in statistical analysis, pattern recognition, and translating analytical findings into clear, actionable recommendations for cross-functional teams. I thrive in remote, project-based environments and enjoy applying analytical rigor to ambiguous business problems. I am comfortable working independently and collaborating with engineering, manufacturing, and leadership to drive data-informed decisions that optimize performance and reduce risk.…I am a data-driven engineering and supply chain professional with 8+ years of experience analyzing large datasets to generate actionable insights that improve forecasting accuracy, inventory strategy, and operational performance. I have a strong background in statistical analysis, pattern recognition, and translating analytical findings into clear, actionable recommendations for cross-functional teams. I thrive in remote, project-based environments and enjoy applying analytical rigor to ambiguous business problems. I am comfortable working independently and collaborating with engineering, manufacturing, and leadership to drive data-informed decisions that optimize performance and reduce risk.

Available to hire

I am a data-driven engineering and supply chain professional with 8+ years of experience analyzing large datasets to generate actionable insights that improve forecasting accuracy, inventory strategy, and operational performance. I have a strong background in statistical analysis, pattern recognition, and translating analytical findings into clear, actionable recommendations for cross-functional teams. I thrive in remote, project-based environments and enjoy applying analytical rigor to ambiguous business problems.

I am comfortable working independently and collaborating with engineering, manufacturing, and leadership to drive data-informed decisions that optimize performance and reduce risk.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

North America Race Supply Chain Specialist (Item-Level and Aggregate Supply Planner) at Goodyear Tire & Rubber Company

January 1, 2023 - January 1, 2025

Analyzed demand, forecast, and production datasets covering 120K+ annual units to support aggregate and item-level supply planning decisions. Performed trend analysis and variance analysis on forecast vs. actual performance, contributing to sustained FRDD of 99–100%. Developed structured reports and summaries translating complex planning data into actionable insights for Manufacturing, Sales, and Leadership. Improved Days-to-Race (DTR) to 41 days by identifying bottlenecks and capacity constraints. Reduced under-minimum inventory by 40% by identifying demand patterns, slow movers, and outliers within inventory datasets. Independently identified supply risks and documented mitigation strategies using quantitative and qualitative inputs.

Staff Race Compounder at Goodyear Tire & Rubber Company

January 1, 2022 - January 1, 2023

Analyzed compound test data and performance metrics to evaluate durability, blistering behavior, and material performance. Led development and re-release of 18+ SKUs, documenting experimental results, comparisons, and corrective actions. Designed and developed the D4409 vintage 15” NASCAR tire by evaluating historical performance data and test results. Interpreted visual and quantitative test outputs to identify subtle performance differences across compounds. Communicated findings through structured documentation and summaries to engineering, manufacturing, and sports teams.

Associate Race Compounder at Goodyear Tire & Rubber Company

January 1, 2019 - January 1, 2022

Supported compound development across Sport, Drag, and NASCAR programs using data-driven evaluation methods. Conducted statistical comparisons of compound formulations to assess performance, durability, and compliance with rule changes. Reviewed and documented test data to identify trends, anomalies, and performance deviations. Led weekly supplier performance reviews, summarizing quality metrics, trends, and corrective actions. Supported raw material substitution approvals through structured risk and performance analysis.

Regional Retread Compounder / Compound Sustainability and Process Technology Engineer at Goodyear Tire & Rubber Company

January 1, 2017 - January 1, 2019

Developed and maintained regional retread compounds, analyzing performance data to guide formulation improvements. Evaluated process and performance data to identify optimization opportunities in cushion and tread cement applications. Issued and resolved Plant Service Requests (PSRs) using structured problem analysis and documentation. Collaborated cross-functionally to interpret results and communicate data-supported recommendations.