Transforming complex data into actionable insights that drive business decisions and growth. Specializing in predictive analytics, machine learning, and data visualization.
I'm a data analyst with 2+ years of experience turning raw data into clear, actionable insights that drive business decisions — from A/B testing algorithms to building automated ETL pipelines.
My background spans statistical analysis, data visualization, machine learning, and business intelligence. I've worked across banking, e-commerce, and marketing analytics, combining Python and SQL with tools like Tableau and Power BI to deliver dashboards and models that stick. I hold a BS in Entrepreneurship from the University of South Florida, giving me a foundation in both the technical and business sides of data work.
Advanced data analysis internship focusing on specialized analytics projects and banking industry applications
Sales and customer relationship management with data-driven approach to customer needs and market analysis
Intensive training program focused on data analytics fundamentals, tools, and real-world project applications
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A software company tested a new mobile-first help website against the original version to determine user experience improvements and engagement effectiveness.
Comprehensive analysis of Facebook's engagement algorithms to understand content performance patterns and user interaction behavior through statistical testing.
Analysis of referral campaign performance and effectiveness, examining customer acquisition patterns and conversion rates through targeted marketing initiatives.
Information Systems analysis project examining exercise equipment organizational structure and operational efficiency through data visualization and systems optimization.
Financial accounting project analyzing sales data and performance metrics for KAT Manufacturing, providing insights into revenue trends and business profitability.
Capstone strategic management project creating executive-level dashboards for data-driven decision making and business performance optimization.
Time series forecasting model for inventory management, reducing stockouts by 30% and optimizing supply chain efficiency.
Automated ETL pipeline processing large-scale records daily, reducing manual data processing time using Python and AWS.
Live streaming analytics dashboard for monitoring user behavior and system performance with sub-second updates.
Natural Language Processing model for customer feedback sentiment analysis with high accuracy classification.
I'm always interested in discussing new opportunities, collaborations, or data-driven projects. Feel free to reach out!