Julianna Fuentes
Austin
Summary
Analytical professional with a background in operations research and data optimization. Expertise in streamlining data pipelines and enhancing reporting efficiency using Python, Excel, and Tableau. Committed to delivering accurate, actionable insights that support data-driven decisions in fast-paced, customer-focused environments.
Overview
3
3
years of professional experience
Work History
Operations Research Analyst
Linquest/KBR
San Antonio
01.2023 - Current
- Designed and implemented simulation and statistical models for analysis of large datasets supporting senior leadership.
- Conducted rapid-turnaround analyses to guide high-stakes decision-making across various domains.
- Collaborated with cross-functional teams, including government stakeholders and technical experts, to align on data objectives.
- Presented findings and optimization recommendations through data visualizations and concise briefings.
Education
Bachelor of Science - Statistics
University of Texas San Antonio
San Antonio, TX12.2021
Skills
- Python and SQL programming
- Data management and analysis
- Excel proficiency
- Data visualization with Tableau and Power BI
- Statistical modeling and regression
- A/B testing and experimental design
- Cross-functional collaboration
- Technical communication skills
- Strategic thinking
- Large dataset manipulation
Projects
Maintained and Enhanced Space Force Demographic Dashboards
- Streamlined monthly update process for Space Force demographic dashboards by developing Python scripts to clean and standardize Excel data sources.
- Reduced manual effort and error rate by automating data preparation workflows, enabling faster and more reliable Tableau dashboards.
- Supported data-driven decision making by ensuring timely, accurate demographic insights through optimized data integration and visualization practices.
Timeline
Operations Research Analyst
Linquest/KBR
01.2023 - Current
Bachelor of Science - Statistics
University of Texas San Antonio
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