Aaron Burciaga, Cap, Ace Email & Phone Number

Orlando, Fl, Us

Loudon, Va, Us

Co-founded Data Science, Machine Learning, and Artificial Intelligence solutions startup for full stack data professional teams and delivery excellence.• Received Top 50 Tech Leaders Award with Special Mention from Intercon in 2019• Invited to join Forbes Technology Council and began as contributor at Forbes.com• Appointed by U.S. Secretary of Commerce to 4-year term on National Technology Information Service advisory board

MNLY is the complete solution for optimal Male performance. MNLY analyzes 80+ different mens health insights to curate Supplement, lifestyle and nutrition protocols for optimal male health.

Seattle, Wa, Us

Fairfax, Va, Us

Provided leadership and oversight for Data, Machine Learning, and Artificial Intelligence strategies and operations. Led multi-million dollar capital investments and strategic growth initiatives to scale data professionals from less than 50 to over 350 data professionals with more than 1,000 certifications. Advised c-level clients and collaborating with technology teams to develop and implement strategies for advancing emerging technologies. Functioned as the subject matter expert and an advisor on ML/AI solutions with technology thought-leadership and social eminence. Demonstrated deep knowledge in automation, machine learning, and artificial intelligence and leverage industry and market trend knowledge and identify ways in which new ML/AI based products and/or modifications or enhancements to current products can be successfully implemented. Established and maintaining evolution of an enterprise ML/AI strategy in collaboration with internal and external stakeholders and drive the Machine Learning and Artificial Intelligence ecosystem and platform design, engineering, development, partner selection, and maintenance. Collaborated closely with key stakeholders within IT, Legal, Privacy, Risk, and business line. Oversaw and managed vendors supporting technology strategy efforts. Architected frameworks and delivery models with best practices around ML/AI technology. Influenced the business and other strategies through solid collaboration skills. Developed analyses, justifications, and roadmap on various strategies to help drive leadership consensus on ML/AI.

Noida, Uttar Pradesh, In

Built high performance, responsive global teams and a global network of data scientists, ML/AI Engineers, data engineers, and analysts. Developed advanced roles, skills, certifications, training, and management of resources to more speedily and efficiently harvest and synthesize data for the quick and accurate delivery of over $10B global technology business operations. Supported organizational efforts toward better understanding user need and pain points and propose roles that data science can play to further this goal. Identified and led the development of new technologies and solutions with investment strategies to define, grow and maintain world class analytics and AI capabilities. Provided visionary leadership with social eminence towards the development and application of Data and Data Science. Ensured best practices and played a critical role in building data-driven cultures internally and with key clients, namely Merck, Otsuka, FedEx, Estee Lauder, Keurig Dr Pepper, AARP, and Wawa. Charted the course for how to develop, market, and deliver data science, machine learning, and artificial intelligence to offer actionable insights both internally and externally. Developed and implemented strategies to revolutionize support support of all ongoing data management needs, such as governance, technology shifts, and regulatory compliance changes. Defined and drove the strategy for investments, working closely with key business analytics leaders, and executive management. Major AI and ML projects included supply chain and logistics, finance and budget, human resources and talent management, life science and health.

Mclean, Va, Us

Led data science, Artificial Intelligence, and analytics functional community activities assisting federal agencies and commercial Fortune 500 enterprises. Guided transformation of integration cloud, sensor, computer vision, smart edge, and emerging technologies to enhance development and data use. Helped oversee and assist talent and program development for 2,000+ general data scientists and analysts. Created new options, partnerships, mergers and acquisition, strategies, and operations aiding differentiated capability and delivery prototypes.• Built first-of-kind teams and strategies for Artificial Intelligence, Block Chain, Quantum Computing, and Augmented Human technologies• Provided key technical knowledge, solutioning, and credential for competitive award of over 3B in machine learning and AI-related contracts

Dublin 2, Ie

Directed analytics engagements with Fortune 100 companies and formed client partnerships, initiatives, and opportunities promoting various global and North American $100M+ revenue projects. Attended corporate executive meetings, analytics workshops, demonstrations, proofs of value/concept and projects. Promoted development of analytics and artificial intelligence applications and methods. • Developed Accenture’s first 1B business with over 200 Artificial Intelligence and analytic products• Over 21M in FY17 Artificial Intelligence and analytics delivery to over 30 North American clients• Developed and led Accenture’s Virginia/DC/Southern Maryland Digital Community for the training, retention, staffing, and esprit de corps of over 300 Artificial Intelligence and analytics affiliated resources

Charlottesville, Va, Us

Prepared, recorded, and oversaw launch of multiple multi-year, multi-million-dollar investment plans to create best-in-class data and big data analytics initiatives. Led 5-10 staff producing advanced statistical methods. Served as primary expert on all project phases including initial planning to delivery of analytic architecture roadmap, request for proposals, in-depth comparison, selection and acquisition.• Spearheaded complimentary research and development program to apply cloud computing technologies

Washington, Dc, Us

Led Logistics Analytics Division for Deputy Commandant’s Installation and Logistics Department and facilitated analytical requirements to meet global vision and directives. Merged analytic efforts with external agencies including Joint Staff, Office of Secretary of Defense, and additional HQMC departments. Represented team interests while furnishing technical oversight of uniformed, civilian, and contracted studies. Assessed senior-level decision-making through data review, statistical options, modeling, simulation, and maximization methods. Obtained, studied, and coordinated formal studies and participation in Marine Corps Studies System. Analyzed studies and analyses for applicability. Led Logistics Analytics Division’s process enhancement activities. Led HQMC Analytics activity for COOP and Alternate Operating Locations (AOL).• Developed data engineering and machine learning methodologies that netted $2.3B dollars in reduced inventory cost savings while increasing assigned values from 23% to 100% of the Services most critical equipment.• Won MORS Outstanding Practical Application in Operations Research (Rist) Prize in 2013 and nominated for MORS Symposium Working Group 17, 26, and 32 Best Paper (Barchi) in 2012.

Washington, Dc, Us

Operations Research Advisor & Logistics Analytics Division Director (LX)Led Logistics Analytics Division for Deputy Commandant’s Installation and Logistics Department and facilitated analytical requirements to meet global vision and directives. Merged analytic efforts with external agencies including Joint Staff, Office of Secretary of Defense, and additional HQMC departments. Represented team interests while furnishing technical oversight of uniformed, civilian, and contracted studies. Assessed senior-level decision-making through data review, statistical options, modeling, simulation, and maximization methods. Obtained, studied, and coordinated formal studies and participation in Marine Corps Studies System. Analyzed studies and analyses for applicability. Led Logistics Analytics Division’s process enhancement activities. • Developed data engineering and machine learning methodologies that netted $2.3B dollars in reduced inventory cost savings while increasing assigned values from 23% to 100% of the Services most critical equipment.• Won MORS Outstanding Practical Application in Operations Research (Rist) Prize in 2013 and nominated for MORS Symposium Working Group 17, 26, and 32 Best Paper (Barchi) in 2012.Graduate Student, Operations ResearchNaval Postgraduate SchoolServed as research associate for NPS MOVES Institute: “Virtual Sand Table – Behavioral Analysis and Synthesis for Intelligent Training.” • Completed thesis commissions by US Special Operations Command: “Forecasting Actions and Relationships of Lebanese Hizbullah with Markov Decision Processes.”

Washington, Dc, Us

Washington, Dc, Us

Washington, Dc, Us

Ms, Operations Research

Bs, Engineering, Political Science, Spanish