Data & AI Analyst - GRC Analytics

AYOMIDE GBADAMOSI

DATA & AI ANALYST

Dallas, TX 214-***-**** **********@*****.*** linkedin.com/in/ayomide-g-645465284 github.com/Oloruferomi PROFESSIONAL SUMMARY

Informatics graduate with hands-on experience in data analysis, statistical research, data visualization, SQL, Excel, AI experimentation, and human-centered data science. Experienced in analyzing operational, business, survey, and experimental datasets to identify trends, test hypotheses, and translate findings into actionable recommendations. Applied statistical methods including ANOVA, post-hoc testing, Pearson and Spearman correlation, and interaction analysis through academic and professional projects. Strong background collaborating with technical and business teams and communicating analytical findings to diverse audiences.Hands-on experience with NIST, ISO 27001, PCI-DSS, HIPAA, SOX, SOC, SQL, Excel, Splunk, RSA Archer, ServiceNow, and prompt engineering. CORE SKILLS

Data Analysis: Excel, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Data Interpretation Statistics: ANOVA, Interaction Effects, Post-Hoc Analysis, Pearson Correlation, Spearman Correlation Data Visualization: Data Visualization, Dashboard/Report Development AI & Research: Prompt Engineering, AI Bias Evaluation, Experimental Design, Human-Centered Data Science Data & Business Tools: Excel, SQL, Power BI*, Tableau*, Salesforce, Smartsheet Collaboration: Jira, ServiceNow, Microsoft Office, Cross-Functional Collaboration Data & AI: SQL, Excel, Data Visualization, Statistical Analysis, ANOVA, Prompt Engineering, Human-Centered Data Science Business &

Collaboration

Stakeholder Communication, Requirements Analysis, Cross-functional Collaboration, Process Improvement, Salesforce, Smartsheet, Microsoft Office

PROFESSIONAL EXPERIENCE

Data & GRC Analyst Excelle Financial Services Dallas, TX Mar 2023

• Analyze business, security, and operational datasets using SQL and Excel to identify exceptions, trends, control gaps, and workflow improvement opportunities.

• Conduct data-driven assessments across 10+ vendors annually, analyzing security questionnaires, reports, metrics, and supporting datasets.

• Develop monitoring reports and analyze event/log data to identify anomalies and support operational decision-making.

• Track incident and remediation data through ServiceNow and RSA Archer, contributing to a 30% reduction in incident-response time.

• Analyze vendor KPIs, KRIs, and SLAs and maintain approximately 95% adherence, identifying performance exceptions requiring corrective action.

• Partner with engineering, QA, and product teams to analyze system performance, validate functionality, identify defects, and improve workflows.

Compliance Analyst / Symposium Support Specialist The University of Texas at Austin - Austin, TX Mar 2023

Analyzed registration, attendance, participant-feedback, and operational datasets to identify patterns affecting event participation and program delivery.

Cleaned, organized, and interpreted event data and developed visualizations to communicate findings to stakeholders.

Evaluated operational, financial, supply-chain, environmental, and safety information to identify risks and improvement opportunities.

Translated analytical findings into recommendations supporting resource allocation, event planning, and program-delivery decisions. UPS Store Associate UPS - Texas

• Prepared sales reports and reconciliations, captured customer transaction data, and maintained operational logs used for staffing and service-delivery decisions.

• Collaborated with team members to streamline data-entry and workflow processes, reducing errors while supporting customer service and shipment tracking.

PROJECTS

Prompt Engineering for Bias Reduction in AI Responses UT Austin Capstone Research Project - Austin, TX

Spring 2026

Designed an experimental study comparing fairness-based, role-based, constraint-based, and rubric-guided prompting strategies for reducing bias in AI-generated responses.

Developed a structured bias-evaluation framework for measuring differences in model responses across experimental conditions.

Analyzed experimental and survey data using ANOVA, interaction-effect analysis, post-hoc comparisons, Pearson correlation, and Spearman correlation.

Compared prompting approaches to identify statistically meaningful patterns in fairness and model behavior.

• Presented findings demonstrating that structured prompting could improve response fairness and developed recommendations for responsible AI implementation.

Diabetes and Risk: A Behavioral and Clinical Analysis Co-Developer - Austin, TX Spring 2025

Analyzed relationships between diabetes, blood pressure, BMI, cholesterol, and physical activity using health-related data.

Conducted exploratory analysis to examine behavioral and clinical factors associated with diabetes risk.

Developed data visualizations to identify patterns and communicate relationships among major health indicators.

Interpreted analytical findings and translated results into evidence-based public-health recommendations.

• Collaborated with a research partner to divide analytical workflows, validate findings, and present results. Ufolio Co-Founder / Team Member - Austin, TX

Spring 2025

• Co-built a student platform connecting learners with company-sponsored projects to develop verified, job-ready portfolios.

• Worked on a cross-functional team spanning informatics, marketing, finance, software engineering, AI, content creation, and digital advertising.

EDUCATION

Bachelor of Science in Informatics University of Texas at Austin - Austin, TX Dec 2025 Relevant Coursework: Introduction to Data Science for Biomedical Informatics, Health Informatics, Programming for Informatics, Human- Centered Data Science, Statistics

Leadership & Honors: People in Leadership: City Limits, UT Austin (2023-2024) General Financial Aid Scholarship for International Students Languages: English, Yoruba, French (Fluent)

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