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Jeff has over 12 years of experience employing a data-driven approach to help his clients realize operational efficiencies and execute challenging initiatives. Often, his clients already possess the necessary information for decisive action; the key to success is frequently the speed and efficiency with which insights are leveraged.
He has a true passion for designing and implementing automated processes that streamline a range of functions, from econometric analyses to back office tasks like payroll and revenue recognition, in midsize to Fortune 500 companies. Jeff's extensive experience includes performing due diligence on companies for potential investors. He is well-versed in Object-Oriented Programming practices, as well as in database administration and visualization software.
His broad experience encompasses leading international teams of developers through software development life-cycles and testing procedures, identifying underlying causes of declining revenues, working with clients to discover new revenue streams through customer segmentation, and automating processes to improve efficiencies and gain new insights. Jeff has experience in Large Language Model (LLM) implementations, including GPT-4/Bing AI, and in the practical application of APIs involving ERP and communications platforms. This expertise assists growth companies in achieving process automation and in scaling back-office and reporting functions while keeping organizations lean and agile.