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My role as a Specialist Director of Data Science at KPMG allows me to combine my technical experience with business knowledge to lead the implementation and development of rich data science capabilities for addressing client needs.Examples of these capabilities:• I have a technical leadership role in the KPMG Connected Maintenance capability that uses data mining, natural language processing, anomaly detection, and graph analytics to identify opportunities for improving asset reliability and reducing maintenance costs within organizations. I also have a technical leadership role in the KPMG Environmental Health & Safety Predictive Operations capability that leverages predictive analytics to anticipate safety incidents such as catastrophic asset failure or personnel accidents so corrective actions can be taken before an incident takes place. Both of these capabilities have been successfully used in projects in the Oil & Gas, Utility, and Construction sectors and are good examples of how an organization can leverage the data that is already being collected to improve business operations.• I have a technical leadership role in the KPMG Connected Commerce and related capabilities. I have developed cloud-based architectures that leverage conversational AI, the Web-based API economy, and several Platform as a Service solutions to allow retail businesses to improve their B2B and B2C reach.• I hold a Subject Matter Expert role within the KPMG Federal practice on a project that optimizes the maintenance schedule of a fleet of aircraft over a twenty year time horizon. This project leverages the Julia programming language to develop a set of heuristic and metaheuristic optimizations that improve the schedule to support mission readiness and other client parameters.

My role as a Data Scientist at KPMG is an important part of my career path because it allows me to broaden my technical background in data science and allows me to enhance my leadership skills through hands-on experience applying formal consulting methodology ("Fact-based Consulting") in a Big Four professional services organization.Notable projects:• I am the principal designer and developer of the KPMG Optimization Framework ("KOpt"), a C/C++ framework for structuring and building metaheuristic optimization solvers that can run on multi-core computers or in cloud computing environments such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.• I am the principal developer of a heuristic-based optimization solver for creating season schedules for referees who are officiating games in a major sports franchise. This solver was developed using the KOpt framework and runs in a cloud environment.• I am a participant in a team that develops a heuristic-based optimization solver for creating season game schedules for a major sports franchise. I contribute to the heuristic optimization solver as well as having responsibility for the cloud environment within which the solution runs.• I was a participant in a team that created an Enterprise Machine Learning Architecture for a large investment bank. The architecture allows deploying TensorFlow models for text classification using Docker containers into an on-premises cloud environment.• I was the principal developer of a Safety Analytics machine learning model for a large construction company client. The model predicts safety incidents that may occur in the next 1-5 days at construction sites with an 80-85% accuracy. The model uses feature variables that include characteristics of the job site, weather data, daily safety inspection data, and subcontractor-specific historic safety data.

As an R&D Staff Member in the Computer Science and Mathematics Division at ORNL, I developed my technical skills in high-performance computing at a world-class Department of Energy supercomputing center.Notable projects:• Team lead for a Scheduling, Resource Management, and RAS project which developed a C/C++ based Intelligent Job Scheduler to coordinate batch workflows, optimizing for utility and energy consumption in a geographically distributed environment of heterogeneous computing resources using Moab, SLURM, and other schedulers and resource management software• Contributor to a Lustre I/O project, focused on developing a C based network overlay layer and parallel/distributed runtime system (SNOflake) along with a C++ based application layer for collecting and analyzing Lustre parallel filesystem performance metrics (MELT)• Contributor to the Scalable Tools Communication Infrastructure (STCI), a scalable fault-tolerant parallel/distributed runtime system for petascale and exascale supercomputing systems, suitable for providing runtime support to Open MPI, OpenSHMEM, or tools such as parallel debuggers• Contributor to the Institute for Advanced Architectures and Algorithms (IAA) focused on developing extensions for Open MPI to adaptively optimize communication based on process placement within the communication architecture: between cores within the same processor, between processors within the same node, between nodes within the same rack, etc.• Contributor to the OpenSHMEM standard specification and program committee member for annual OpenSHMEM Workshops

My position as a Research Assistant at NCSA gave me the opportunity to work with experts in high-performance computing and several other related areas. This experience played a huge role in the development of my technical skills and complemented the coursework of my PhD.Notable projects:• Developer for the Virtual Machine Interconnect (VMI) project, a C/C++ based low-latency messaging layer for high-performance supercomputing clusters using Myrinet, InfiniBand, and related network technologies• Researcher in the Security Research Group, leading a project to develop secure on-demand utility computing solutions for supercomputers and computing clusters using custom scheduling heuristics, techniques for application placement that span multiple clusters, and virtualization capabilities (Xen, VMWare)• Researcher in the Security Research Group, leading a project to develop security tools designed to monitor the security state of distributed computing clusters

Between the end of my undergraduate studies and the beginning of my graduate studies, I worked as a staff member in Andrew A. Chien's laboratory, the Concurrent Systems Architecture Group (CSAG), within the Department of Computer Science at UIUC. This position gave me an excellent opportunity to learn how to structure research to have impact.Notable projects:• Assisted in the development of the High Performance Virtual Machine (HPVM) project to create computation clusters using Windows NT and custom high-bandwidth, low-latency active message-based communication layers on Myrinet (Illinois Fast Messages)

Near the end of my undergraduate education, I received an opportunity to spend eight months working for Ian Foster and Steve Tuecke in the Mathematics and Computer Science division at Argonne. This role was my first experience developing software for supercomputers and was what convinced me that I wanted to go to graduate school and have a career in research.Notable projects:• Participated in a project called Zipper which developed cryptography extensions to Nexus, a multi-threaded event-driven communication layer for computation clusters

Primary responsibilities:• Install and maintain operating systems and application software for campus computing server platforms.• Support network connected user workstations by providing diagnostic assistance with problem resolution.• Design and maintain the LAN & WAN (including Internet access) networking equipment.• Design, configure and implement utility and management software for campus computing services.