Case Study
Digital Process Control & Yield Modeling
Synthesized complex production data using SQL/Python to forecast yield with 93% accuracy, driving proactive process optimization.
Python
Data Synthesis
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Data-driven leadership across the project lifecycle.
Synthesized complex production data using SQL/Python to forecast yield with 93% accuracy, driving proactive process optimization.
Executed LSS Black Belt frameworks and Root Cause Analysis (RCA) to accelerate tech transfer, reducing deviation risk by 32% year-over-year.
Led operational implementation for complex cGMP systems and authored clear guidance documents, ensuring the entire supply chain met rigorous operational readiness standards. Championed cross-functional alignment between engineering, quality, and operations using Black Belt organizational development principles.
Kennesaw State University
Mastery of DMAIC, Design for Six Sigma (DFSS), and Team Management. Successfully completed a peer-reviewed capstone focused on data-driven operational excellence.
University of Notre Dame
Foundational expertise supporting high-stakes biopharmaceutical manufacturing, process development, and data-driven process control.
Vanderbilt University
Strategic deployment of AI for business value, innovation, and technical leadership.
Credentialed in project execution and risk management—bridging engineering leadership with business excellence.
Specialized training and advanced credentials complementing a decade of practical experience in process safety, management, and technical operations.
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