Resume
Data Solutions Specialist focused on data science, analytics, machine learning, Python, Power BI, Power Platform, and AI engineering.
Professional Summary
Data Solutions Specialist with a master’s degree in applied data science and experience building practical, end-to-end data solutions. My work combines statistical thinking, machine learning, Python, analytics, Power BI, Power Platform, and automation to solve problems. I work across defining objectives, data preparation, solution architecture, development, testing, stakeholder review, and production deployment.
Current Role
Data Solutions Specialist
Cencore · Supporting Microsoft
2024 – Present
Building and deploying data and automation solutions for CenCore and Microsoft projects, with work spanning Power BI, Power Platform, Python, analytics, workflow automation, and production delivery.
Education
Master of Science in Applied Data Science
Bay Path University
Summa Cum Laude · GPA: 4.0
Bachelor of Science in Psychology, Minor in Anthropology
Utah State University
Summa Cum Laude
Core Skills
- Statistical modeling, inference, and applied data science
- Python, machine learning, and data analysis
- Power BI, data visualization, and decision-focused analytics
- Power Platform: Power Apps, Power Automate, and environment administration
- PowerShell and workflow automation
- Solution architecture, testing, deployment, and stakeholder collaboration
- AI engineering (in-development): LLM applications, agents, RAG, APIs, tool use, and evaluation
Professional Experience
Data Analyst
Cencore, LLC
2024 – Present
Applied data analysis, statistical methods, visualization, and reporting to support data-driven decision-making and practical business solutions.
Data Science Writer
Dev Genius
2022 – 2024
Created technical content focused on data science, statistical methods, analytics, and practical applications of data-driven techniques.
Research Assistant / Academic Writer
Utah State University
2019 – 2020
Additional Background
My earlier academic and professional work included behavioral science, research, and quantitative analysis. That background informs how I approach measurement, experimental thinking, and evidence-based decision-making, while my current professional focus is increasingly centered on data science, data solutions, analytics, Power Platform engineering, and AI engineering.
