Nate Carrier

Designed and carried out Google Product Listing Ad (PLA) optimization tests and developed analytical tools to evaluate tests.
• Developed a data-driven bid optimization model to determine optimal PLA spend across any factor, currently in use to design dayparting, geobidding, and category optimization tests.
• Designed and carried out bid optimization experiments in the US, Germany, and Australia.
• Created a Tableau dashboard to monitor landing page tests and iterated on design according to business needs.
• Developed a method to determine sales uplift for tests with unequal spend between control and test groups.

Managed three corporate clients of a mult-dimensional financial reporting and analytics application as the primary consultant—including implementation, maintenance, custom development, training, and support.
• Led design and implementation of several major components of a $100,000 financial software implementation.
• Identified unmet customer need for and developed several time saving enhancements to KCI's core financial application, ultimately benefiting 100 clients.
• Analyzed a bottleneck process for Kraft Foods and proposed a design change to reduce data processing time, resulting in a 75% increase in processing performance.
• Worked with VP of Finance at L-3 Power Paragon to rebuild a failed implementation and salvage the contract.
• Conducted end-user and administrator training sessions, training 33 clients from 7 companies.

Created graduate-level curriculum to teach basic programming and Excel Add-in design (see www.natecarrier.com/vba)

Conducted and oversaw statistical analysis on manufacturing operations, implemented process improvements to manufacturing floor, improved engineering processes, and developed custom software.
• Designed a custom application to automate defect data collection reducing collection time by 8 hrs per month.
• Implemented an automated system to graphically present defect data for analysis and statistical process control.
• Streamlined a process to validate bill of materials data, reducing required engineering labor by 50%.