Operational Research Analyst with Data-Driven Optimization

JeQa Powe

E: ****.****@*******.*** P: 850-***-**** linkedin.com/in/jeqapowe

Location: DC Metro, Silver Spring, MD Security Clearance: TS/SCI Tenken73.github.io PROFESSIONAL SUMMARY

Operational research analyst with years developing probability models, statistical inference frameworks, and optimization solutions across federal, defense, healthcare, and corporate environments. Veteran who has designed custom machine learning systems to improve operational decision-making, conducted multivariate regression and geospatial analyses, and identified multi-million-dollar cost savings through data-driven optimization. TECHNICAL SKILLS

• Programming & Analysis: Python (pandas, anaconda, matplotlib), R, SQL (complex queries, DB2), PowerShell, statistical modeling, regression analysis.

• Machine Learning: LLM fine-tuning, prompt engineering, supervised learning, natural language processing (NLP), image recognition (ICR), neural network training.

• Geospatial: ArcGIS, spatial analysis, network mapping, economic analysis, modeling

• Data Infrastructure: Cross-domain automation, ETL pipeline development, IBM DB2, Power BI, Tableau

• Domain Expertise: Social network analysis, centrality measurement, economic impact modeling, operational targeting, network mapping

Education, Certifications, Service

• Howard University M.A. Economics 2022 Thesis: Economic Benefits of Urban Agriculture

• University of Florida B.S. Food & Resource Economics 2020

• CPR & AED Basic Life Support Certified 2025

• US Army National Guard (11B / 09R / 13P) Infantry / MLRS 2014-2018 PROFESSIONAL EXPERIENCE

UIC Bowhead – Data Analyst III

Stafford, VA March 2025 – May 2025 Contractor

• Performed data analysis and trend assessment supporting research programs and structured federal reporting requirements; translated technical findings for senior stakeholder review.

• Conducted multivariate regression analysis on naval fleet maintenance data, developing statistical models to support federal reporting and predictive maintenance scheduling recommendations.

• Identified approximately $2M in potential cost savings through pattern recognition and optimization of maintenance resource allocation.

Community of Hope DC – Lead IT Support Specialist

Washington, DC November 2023 – March 2025

• Led day-to-day IT support for a multi-site healthcare nonprofit, resolving escalated tickets for clinical and administrative users across hardware, software, and network issues.

• Analyzed technical systems and support patterns to identify approximately 35K in annual cost savings through license optimization and workflow changes.

• Managed IT asset inventory and security reporting, producing monthly dashboards on device lifecycle, patch status, and access risks.

Joint Warfare Analysis Center (JWAC) - Research Operations Analyst Department of Defense Dahlgren, VA June 2022 – March 2023 Federal Employee

• Conducted quantitative analysis and built custom machine learning solutions for operational targeting in TS/SCI environment, supporting joint warfighter requirements through advanced computational methods.

• Machine Learning & AI Development: Designed and implemented large language model for foreign target network analysis, collaborating with data scientists from MIT Lincoln Laboratory to train models on operational intelligence data - Developed multi-modal ML capabilities including image recognition, audio transcription, and entity matching to enhance network mapping accuracy by 40% - Built cross-domain automation workflows integrating Power BI and custom LLMs, enabling secure data exchange between high-side and low-side networks for real-time analysis

• Network & Geospatial Analysis: Created analytical models for social network mapping using graph theory, centrality measurements, and link analysis to identify high-value targets and network vulnerabilities - Applied geospatial intelligence techniques (ArcGIS) to visualize adversary networks, integrating economic indicators and operational data across multiple classification levels - Cleaned, structured, and modeled complex intelligence datasets using Python, R, and IBM DB2 for machine learning ingestion

• Strategic Communication: Briefed senior DoD leadership on research findings and operational recommendations, translating complex quantitative analysis into actionable intelligence products - Ensured compliance with operational security protocols and information handling requirements across all research activities

Chanel – Senior IT Solutions Analyst

New York, NY / Remote May 2020 – August 2023

• Analyzed ticket and incident data for 150+ global boutiques to identify systemic issues, informing quality improvement initiatives and targeted remediation efforts.

• Built and maintained structured documentation for recurring problems, enabling more efficient resolution and knowledge transfer across support teams.

• Partnered with operations and retail stakeholders to interpret technical data and advise on infrastructure and process changes.

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