If you're looking for someone who bridges the gap between data and impact, let's connect!

Pennsylvania State University
BS: Enterprise Technology Integration
Smeal College of Business Certificate
Hey! I'm Agendia, an aspiring data analytics and business intelligence professional passionate about turning complex data into clear, actionable insights. I enjoy working across industries like finance, healthcare, marketing, media, and operations, helping teams uncover patterns, manage risk, and make smarter decisions.
My experience spans the full data stack, including data pipelines, cloud infrastructure, machine learning, dashboards, and strategic reporting. I'm equally comfortable diving into technical challenges and communicating insights in a clear, business focused way. What drives me most is helping data create real impact.
The Cleaning Authority
Nov. 2025 – Feb. 2026
Analyzed Q3 performance data and compared it to the previous five quarters to identify key business trends, patterns, and areas for improvement.
Developed KPI-focused reports for marketing, employees, customers, and overall operations, highlighting insights on employee reliability/retention, closing ratio and marketing efficiency.
Monitored weekly Q4 reports with automated SQL program to assess ongoing progress, measure marketing effectiveness, and track appointment success and lead conversion rates for strategic recommendations.
Pennsylvania State University College of IST
May – Aug. 2024
Programmed a Python script to interact with the Finviz API, making automated calls every three seconds to gather real-time market data including stock metrics such as price, volume, and float with numerous filters.
Utilized pandas to ingest and process high-frequency data, structuring it into DataFrames and performing critical feature engineering on the fly to prepare clean, structured data for machine learning models.
Fed real-time, clean data into machine learning models built with Scikit-Learn, enabling the analysis of stock trends with up-to-date information and improving the accuracy of predictive insights for financial decision-making.





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