Andrew Kolpitcke
Senior Electromechanical Engineer - Algorithms, Control Systems, & Data Analytics @The Coca-Cola Company
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WORK HISTORY
Senior Electromechanical Engineer - Algorithms, Control Systems, & Data Analytics @The Coca-Cola Company
Atlanta, GA, US
Mobilized implementation of automated component field diagnostics sequence with engineering, software, operations, data analytics, and field service teams & to drive a 20% reduction in components erroneously replaced• Led development of next-generation fluid valve with external supplier ensuring all regulatory requirements were met• Linked manufacturing data, failure analysis data, and data extracted from dispensers to classify root cause of component replacements and underlying failure modes to help drive decisions on improvements in component design & service behavior• Devised & deployed software algorithm to modulate pump performance in real-time resulting in 3x accuracy improvement• Developed software algorithm to detect clogged ingredients across 50k dispenser fleet using MATLAB & field data analytics• Refined premium control system & tuning in Simulink to adjust update rate & reduce load on microcontroller• Created & programmed Arduino driven micropump calibration device that achieves +/- 1% accuracy with 3x time reduction• Eliminated mechanical stalls in pump by design, fabrication, & programming of custom torque rig & ran DOE which identified lubricant as largest source of torque increase
EDUCATION
Georgia Institute of Technology
Bachelor’s Degree, Biomedical Engineering
ABOUT ANDREW KOLPITCKE
Passionate and hard-working engineer skilled at leveraging advanced data analytics for connected equipment and software driven electromechanical systems to reduce cost, improve product performance, and extract key insights for product and business value. 10+ years of experience creating and extracting key metrics from underlying data sources for complex electromechanical systems in medical devices and automated beverage dispensing equipment. Looking to use diverse skillset in multidisciplinary engineering (mechanical, electrical, control systems, algorithm development and software) and data analytics (Python, SQL, AWS, Fabric, KQL, PowerBI) to unlock insights and drive solutions that address key technical and business needs.
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