Jeffery Stallworth

Worked with stakeholders to develop quarterly roadmaps based on impact, effort, and test coordination. Utilized advanced querying, visualization, and analytics tools to analyze and process complex data sets. Identified, measured, and recommended improvement strategies for KPIs across business areas. Created and implemented new forecasting models to increase organizational productivity. Developed, maintained, and tested infrastructures for data generation to transform data from various structured and unstructured data sources. Utilized advanced querying, visualization, and analytics tools to analyze and process complex data sets. Worked with the cloud architect to generate assessments and develop and implement actionable recommendations based on results and reviews. Automated models to give customers unmatched governance over their Machine Learning Operations (MLOps). Assisted the SOCOM Chief Digital and Artificial Intelligence Office (CDAO) with data governance and data strategy implementation across the enterprise. With my primary focus being SOCCENT. Leveraged ADVANA to catalog and visualize data within the command. Delivered insights from complex datasets through effective communication with key stakeholders across multiple directorates. Led a team composed of 10 data scientists to complete complex projects on time and within budget successfully. Developed Data Strategy Implementation Plan (DSIP) to shift the culture of the organization to be a data-driven organization. Strengthened internal data governance practices by helping to develop and implement policies related to data storage and access.

Supported NGA support team (NST) SOCOM as lead Data Scientist by building a geospatial enterprise. This enterprise consisted of integrating data from big NGA's GIS portals and other programs of records from SOCOM into one centralized location. Coordinated with stakeholders of programs to automate data integration with SOCOM and NST SOCOM. Collaborated with TSOC representatives and analyst on ways to create intuitive data services. Daily role consisted of engaging with key personnel and product leaders to design and deploy geospatial intelligence solutions to support data-driven decisions. Helped develop data models combining geospatial intelligence and other relevant sources to perform analytical deep dives. Leverage GIS programs within the Intelligence Community (IC) to develop multi-INT solutions. Implemented AI/ML algorithms in data models for projects. Researched new technologies to support growth within the organization. Leveraged natural language processing to identify specific organizations. Applied computer vision methodology identify objects at specific areas of interest.

Applied data science to optimize the use of open source tools. Customized workflows to automate data pipelines for data validation. Collaborated daily with cross-functional internal and external team members and occasional third party vendors. Designed, develop, and regularly support testing of geospatial feature extraction, exploitation, and quality workflows. Gather requirements, determine scope, and estimate hours needed to develop and deliver custom geospatial analytic solutions to our internal and government customers. Identified and implemented improvements to system designs and processing methodologies to improve efficiency, scale, reliability and mitigate operational risk. Wrote procedures, methods, workflow documents and standard operating processes as well as training plans. Advise, train, mentor and learn from other team members on technical topics. Created and integrated geospatial data layers including cultural/social layers for named areas of interest (AOIs) to support analytical modeling. Supported the command with geospatial and temporal analysis to discover and characterize relationships, trends, and infer conclusions to enable pattern analysis. Leveraged natural language processing to identify people, places and entities.

Supported planning and integration of new and existing intelligence collection, exploitation, reporting, dissemination, and evaluation capabilities into AFSOC Distributed Ground Station (DGS)/intelligence units and implement these warfighting capabilities through direct support to AFSOC and USSOCOM. This includes integration of data from intelligence collection, fusion, correlation, and dissemination systems related to UAS-RPA, manned, satellite, and surface/ground Intelligence Surveillance and Reconnaissance (ISR) systems. Provide experienced imagery analysis support for FMV, Electro-Optical (EO), Synthetic Aperture Radar (SAR), infrared (IR) imagery and any future imagery sensors which may be employed in support of AFSOC PED operations. Conduct imagery exploitation and generate Near Real Time (NRT) voice and textural reports in accordance with mission reporting requirements. In addition, produce and disseminate tailored, imagery-based products (e.g. stills, 360 analytical products, vehicle/personnel follows, video clips) in response to mission requirements and provide these products to the government. Responsibility for validating and releasing the imagery based intelligence products resides with the Government/Military. Created ARC GIS related products in support of PED operations. Ensured that all data on the network was accurate and constantly updated.