Hello, I am
CamelliaLe
Turning complex data into actionable insights that drive strategic decisions. Passionate about bridging the gap between data and business strategy.
About Me
I'm Camellia — a graduate student at the University of South Florida pursuing a Master's in AI and Business Analytics. With a strong foundation in SQL, Python, and leading BI tools like Tableau and Power BI, I turn complex datasets into clear, actionable insights.
From automating quote generation at TeamViewer to building healthcare analytics dashboards and researching AI safety at USF, I thrive at the intersection of data engineering, analytics, and business strategy.
I'm passionate about building end-to-end data pipelines, creating impactful visualizations, and applying machine learning to real-world problems. Always eager to learn, collaborate, and take on new challenges.
Years Experience
Financial Datasets
Tokens Processed
Data Sources Analyzed
Projects
- Developed ETL workflows to process and validate CMS healthcare data, transforming raw datasets into structured fact and dimension tables for analysis.
- Built SQL analyses and Tableau dashboards to evaluate hospital performance, uncovering insights on profitability, cost efficiency, and regional trends to support business decision-making.
- Processed and analyzed a 3M+ token dataset using Python and SQL, applying exploratory data analysis and model evaluation to improve response accuracy to 85%.
- Developed end-to-end data and analytics pipelines for ingestion, inference tracking, monitoring, and optimization, reducing latency by 75% and infrastructure costs by 82%.
- Developed automated data analytics pipeline to collect, clean, validate, and process 1,000+ new internship postings daily, delivering insights to hundreds of students.
- Applied automated classification models (GPT-4o, Google Gemini) to categorize job data and filter low-quality entries, increasing pipeline efficiency by 90%.
Experience
Graduate Research Assistant
University of South Florida
Conducting research on AI safety and cybersecurity, developing attribution-based methods to analyze authority bias in large language models. Co-authored "Enhancing Cloud Security Assessment Frameworks for the Generative AI Era," a peer-reviewed paper awarded Best Paper Runner-Up at AMCIS 2025.
Sales Analyst Intern
TeamViewer
Processed and validated large datasets using Excel and SQL for initial analytics, then visualized key sales trends through Power BI and Tableau dashboards. Created Excel VBA automation to reduce processing time by 40% and minimize errors.
Research Analyst Intern
Resilience Inc.
Achieved a significant 30% efficiency improvement through advanced analytics utilizing Python. Aggregated and analyzed unstructured data from 1,000+ sources using SQL and Python to support downstream analytics.
Business Analyst Intern
VNDirect Securities Corporation
Assembled, cleaned, and transformed 50+ financial datasets using Python, improving data accuracy by 30% and reducing analysis time by 20%. Designed and managed daily security data dashboards using Tableau and Power BI.
Let's Connect
I'm always open to discussing new opportunities, data challenges, or interesting projects. Feel free to reach out!