Cyber Security Risk Management Python SQL

NATHAN G. RODRIGUEZ

Austin, TX ***** 956-***-**** ***********@*****.*** linkedin.com/in/nathan-rodriguez-57692a220 EDUCATION

The University of Texas at Austin, Austin, TX Expected December 2027 B.S. in Informatics, Human-Centered Data Science Concentration; Certificate in Programming and Computation; Minor in Risk Management

GPA: 3.6/4.0

Relevant Coursework: Data Engineering, Database Design, Python for Machine Learning, Applied Statistical Modeling, Applied Cybersecurity Foundations

South Texas College, McAllen, TX Jun 2023 - May 2025 A.S. in Computer Science, GPA: 3.6/4.0

EXPERIENCE

Henry Schein, Cybersecurity Intern Jun 2026 - Aug 2026

• Mapped 1,500+ security controls across NIST SP 800-53, ISO 27001, and CMMC to identify automation candidates within an enterprise healthcare environment.

• Reduced manual control review time by building AI-assisted validation workflows in Python that test control effectiveness and produce auditable documentation.

• Scoped an AI risk assessment tool with senior security leadership, converting framework requirements into structured data logic, and authored governance policies and security awareness training content. R1 RCM, Patient Access Representative, Austin, TX Jul 2025 - Present

• Process patient records and multi-format financial data in EHR systems under HIPAA handling requirements, protecting billing accuracy across daily patient volume.

• Resolve discrepancies between intake, insurance, and billing records so care and payment workflows stay on schedule. Strauss Cybersecurity Clinic, UT Austin, Cybersecurity Fellow Jan 2026 - Present

• Assess client security posture against the NIST Cybersecurity Framework, delivering gap analyses that rank remediation by risk exposure for small businesses and non-profits.

• Write information governance policies that align client controls with regulatory requirements. PROJECTS

Churn Prediction Pipeline, UT Austin, Data Science and ML Project Mar 2026 - May 2026

• Predicted customer churn at 87% accuracy by engineering 10 behavioral features (reorder gap, basket size, order frequency) from 3M+ Instacart orders and training a logistic regression model in scikit-learn.

• Ranked highest-churn products and department-level churn rates, turning model output into concrete retention targets; masked sensitive customer fields throughout the pipeline. Divy Data Project, MISA, Data Engineering and Analytics Lead Aug 2025 - Dec 2025

• Built an ETL pipeline in Python and Pandas that profiled, cleaned, and standardized a 1M-record business dataset, enforcing data integrity rules at each stage.

• Surfaced 5 organizational insights through exploratory analysis and statistical modeling, then shipped Power BI and Plotly dashboards adopted by technical and executive stakeholders. LEADERSHIP & ACTIVITIES

Kappa Theta Pi (Technology Professional Fraternity), Director of Merchandise Feb 2026 - Present Management Information Systems Association (MISA), Project Cohort Aug 2025 - Present Association of Latino Professionals for America (ALPFA), Member Aug 2025 - Present South Texas College Computer Science Club, Treasurer Aug 2024 - May 2025 SKILLS, CERTIFICATIONS & HONORS

Programming: Python, Java, C++, C, SQL, Bash/Shell, Assembly Data & Machine Learning: Pandas, NumPy, scikit-learn, Plotly, ETL and pipeline development, exploratory data analysis, feature engineering, logistic regression, statistical modeling Databases & Tools: Relational and NoSQL databases, REST APIs, Git/GitHub, Power BI, Excel, Microsoft 365, Linux, Windows, macOS

Risk & Compliance: NIST CSF and RMF, NIST SP 800-53, ISO 27001, CMMC, HIPAA, risk assessment, control mapping and testing, gap analysis, policy development

Certifications: Google Cybersecurity Certificate (May 2026); Google IT Automation with Python Specialization (Dec 2024) Honors: Xerox Award for Innovation and Information Technology (2024); National Hispanic Recognition Awardee (2024)

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