Independent Consultant
Automotive
Computer Software/Engineering
Consumer Electronics
Consumer Goods
Consumer Services
Food/Beverages
Hospital/Health Care
Information Services
Information Technology/IT
Management Consulting
Wine/Spirits
United States
English
Frank Mendoza, is an award-winning, seasoned Analytics Leader with 20+ years of experience in leading cross-functional matrixed teams to attain world-class performance level in Advanced Analytics, Strategy & Innovation, and Customer Success.
He has held various senior positions at some of the largest and most influential companies in the world (i.e., Dell, 3M).
As CEO of Catalytics, he has been introducing emerging technologies such as Artificial Intelligence, Machine Learning, and Data Visualizations to Fortune 500 companies to help enable them to shift their culture to become more data-driven. Over the past five years, he worked alongside C-Suite executives to develop strategic analytics roadmaps, use cases, and the execution plans to generate a positive ROI. He has proven experience establishing scalable data programs, collaborating across multiple levels of the organization to gain consensus, and challenging conventional thinking to identify and improve productivity via ML/AI, Data Analytics, and Insights.
Frank holds a Bachelor of Science in Mechanical Engineering and a Master in Business Administration (MBA) from the University of Texas at Austin.
Partner with Fortune 500 CPG company to institute program governance and capital plans for significant investment in Analytics capabilities
Solution:
Spirit Industry 3-Tier business model limits visibility to at-home consumption patterns; business unable to view trends with respect to the category and geographic patterns
Solution:
Historically. financial forecast models solely leveraged internal data sources; this does not provide leaders with enough proactive visibility to industry shifts/trends.
Solution:
Leading Social Media company (B2B Private Equity) lacked the visibility or methodology to identify at-risk enterprise customers
Solution:
Determine the best approaches to introduce emerging technologies like Artificial Intelligence, Machine Learning, and Advanced Analytics to help organizations shift their culture to become more data-driven. Responsible for the design, training, evaluation, and deployment of customer AI/ ML solutions.
Independent Consulting Engagements include:
Career Highlight:
Demonstrated expertise in handling complex and enterprise-level customer relationships.
Spearheaded growth strategy regarding the recent acquisition in the Motor Vehicle Services and Support (MVSS) organization.
Career Highlight:
Spearheaded a team accountable for the M&A target integration with SMB business including program management, analytics, and business communications in Brazil, Canada, and the United States.
Career Highlights:
The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).
The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).