Data & Business Intelligence
SQL, Python, data validation, exploratory analysis, dashboard development, metrics, reporting, and data storytelling across large and multi-source datasets.
U.S. Army investigations, intelligence, analytics, and operations professional with 6 years of experience leading complex investigations, analyzing large and diverse datasets, assessing risk, improving operational processes, and translating complex findings into decision-ready reporting for senior leaders. Hands-on technical experience includes SQL, Python, Power BI, Tableau, Excel, Microsoft 365, BigQuery, Looker, Google Cloud, and data-quality workflows.
My background sits at the intersection of data, investigation, risk, security, and operational decision support rather than within a single narrowly defined job function.
SQL, Python, data validation, exploratory analysis, dashboard development, metrics, reporting, and data storytelling across large and multi-source datasets.
Fraud-pattern analysis, risk assessment, compliance monitoring, quality assurance, data-quality review, control-gap identification, and evidence-based recommendations.
Complex investigations, threat intelligence, OSINT, behavioral assessment, database research, multi-source analysis, investigative planning, and security-risk evaluation.
Requirements translation, process improvement, executive reporting, cross-functional coordination, quality control, distributed-team leadership, and decision support.
Progressive responsibility across investigations, intelligence analysis, data analysis, reporting, team leadership, operational management, security, compliance, and international coordination.
Portfolio projects demonstrate the complete analytical process: preparation, validation, querying, analysis, visualization, interpretation, and communication.
Queried and analyzed simulated mobile-money transactions to identify fraud concentrations, behavioral patterns, anomalous activity, transaction-level risk characteristics, and weaknesses in existing detection logic.
Prepared and analyzed completed Lending Club loan records to examine default risk, profitability, exposure, borrower characteristics, portfolio segmentation, and performance trends.
Cleaned, validated, transformed, and integrated public datasets covering business licenses, ownership, and food inspections to identify data-quality concerns, relationships, inconsistencies, and operational patterns.
Technical proficiency labels reflect professional use, completed analytical work, formal technical development, and repeated application rather than arbitrary percentage ratings.
University of Maryland Global Campus
Focus in Artificial Intelligence /
Machine Learning
University of Maryland Global Campus
Expected July 2027
University of Maryland Global Campus
Cum Laude • GPA 3.885 • Pi Gamma Mu
Cochise College
Completed 2026Google Cloud technical development in cloud-based analytics, querying, visualization, data preparation, and analytical workflows.
Completed 2026Structured Google Cloud technical development focused on the data analyst workflow.
Completed 2026Google Cloud completion badge covering Looker-based data analysis and visualization.
Completed 2026Google Cloud skill badge focused on preparing analytical data for Looker dashboards and reporting.
Completed 2026Continuing formal development in Tableau visualization and analytical reporting.
In ProgressProfessional analytics certification development.
Expected February 2027Designed, developed, and deployed a responsive professional portfolio using HTML, CSS, GitHub, and GitHub Pages. Configured a custom domain through Cloudflare DNS and implemented domain-based professional email using Zoho Mail, including domain verification, MX routing, SPF, DKIM, and DMARC authentication to support secure professional communications.
I am pursuing opportunities across data analytics, business intelligence, risk, compliance, investigations, security analysis, and analytically focused operations.