Alissa Homsuwan
@alissahomsuwan
Detail-oriented data analyst skilled in actionable insights and visualization.
What I'm looking for
I am a detail-oriented and highly motivated Data Analyst with a strong background in data collection, risk assessment, and intelligence analysis. My expertise in SQL, Python, R, and Tableau allows me to effectively transform and visualize data, enabling me to analyze large datasets and identify trends that drive actionable insights. Recently, I completed the Google Data Analytics Certificate, which has further solidified my understanding of the data analysis lifecycle.
In my current role as a GSOC Analyst at Crisis24, I analyze global security threats and geopolitical events, providing real-time intelligence and risk assessments. I utilize open-source intelligence and analytical tools to develop actionable reports, ensuring situational awareness for our clients. My previous experience as a Research Assistant at the University of Tennessee involved improving data insights into graduate program quality metrics and streamlining workflows, demonstrating my commitment to data accuracy and efficiency.
Experience
Work history, roles, and key accomplishments
GSOC Analyst
Crisis24
Jan 2025 - Present (5 months)
Analyzed global security threats, geopolitical events, and emerging risks to provide real-time intelligence and risk assessments. Utilized open-source intelligence (OSINT) and analytical tools to develop actionable intelligence reports and track incidents to ensure situational awareness.
Research Assistant
University of Tennessee
Aug 2021 - May 2023 (1 year 9 months)
Improved data insights into graduate program quality metrics by implementing statistical methods in Python, analyzing characteristics of the top 20 MSBA programs in the U.S. Streamlined transcription workflows by developing a cleaning script in R, resulting in a 50% reduction in manual processing time for Zoom meeting records.
SAP Compliance & Controls Analyst
Enterprise Partners
May 2022 - Aug 2022 (3 months)
Delivered cost savings of 4% by conducting forecast modeling and identifying surplus user licenses, optimizing resource allocation. Enhanced operational efficiency by creating linear regression models in R, comparing expected vs. actual usage of software licenses to highlight underutilization patterns.
Education
Degrees, certifications, and relevant coursework
University of Tennessee, Knoxville
B.S. Business Analytics, Business Analytics
Grade: 3.70
Focused on quantitative analysis and data-driven decision making. Gained expertise in statistical modeling, data visualization, and predictive analytics.
Northern Virginia Community College
A.S. Business Administration, Business Administration
Grade: 3.50
Completed foundational coursework in business principles and administration. Developed skills in management, economics, and organizational behavior.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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