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Rod Fontecilla Adjunct Professorial Lecturer Department of Information Technology & Analytics

Rod Fontecilla
KSB | Finance & Personnel Administration
Main Campus
B.S. Computer Science
M.S. Applied Mathematics
Ph.D. Applied Mathematics

Technology executive with over 25 years of entrepreneurial leadership experience in federal procurement arena managing large P&L, innovation and delivery programs; extensive experience capturing and delivering large and complex strategic initiatives in the federal government and private sector, maximizing returns on investment, and developing strategic initiatives for emerging technologies.

Previously, VP and Global Lead Analytics at Unisys Corp. for the past six years, Principal with Booz Allen Hamilton for 15 years, primarily focused on developing and implementing long-term technology strategy and vision to the federal government. Collaborated with senior managers to develop strategies for leveraging new technologies and capturing market share. Significant experience managing large and complex proposal efforts for mission critical programs in the federal government.

Expertise building global data science teams creating data analytics solutions across commercial and federal government, including financial services, public sector, transportation and life sciences. Helps clients and business partners to accelerate the identification, creation, adoption, and enablement of advanced, emerging, disruptive and transformational technologies. Uses and implements advanced data analytics solutions to obtain real-time business insights and value. Manages the artificial intelligence center of excellence to promote emerging technologies such as machine learning, natural language processing and deep learning. Works with federal government and commercial clients to provide significant and powerful insights from their data implementing large business intelligence solutions, decreasing operational costs, identifying new revenue channels and increasing efficiencies.

Specialties: Data Science, Predictive Analytics, Machine Learning Algorithms, Hadoop and Spark Integrations, Predictive Analytics Modeling, Agile Application Development, Hybrid Cloud Implementations, and Mobile Strategies.
For the Media
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