Medicare Spending Per Beneficiary (MSPB) Analytics
Analyzed CMS hospital spending efficiency and cost drivers across U.S. hospitals to surface savings opportunities and benchmark performance.
Motivated and detail-oriented recent graduate passionate about data engineering, analytics, and visualization. Skilled in SQL, Python, Excel, Power BI, ETL concepts, and cloud technologies — transforming raw data into meaningful business insights and scalable data solutions.

Aspiring Data Engineer • Data Analyst
A motivated data professional turning curiosity, strong academics, and hands-on projects into career-ready skills.

University of North Texas student with a 4.0 GPA and a strong focus in data, analytics, and technology.
Built academic and personal projects using SQL, Python, Power BI, Excel, ETL concepts, dashboards, and cloud basics.
Actively seeking entry-level Data Analyst, Data Engineer, Business Intelligence Analyst, and cloud/data-related roles.
A strong foundation in data analysis, reporting, cloud basics, and data engineering tools — ready to contribute and grow in real-world teams.
A snapshot of pipelines, platforms, and analytics systems I've built.
Analyzed CMS hospital spending efficiency and cost drivers across U.S. hospitals to surface savings opportunities and benchmark performance.
End-to-end federal spending analytics with ETL, HHI market concentration modeling, YOY trend analysis, and executive dashboards on USAspending.gov data.
Quantitative market analysis covering daily/cumulative returns, moving averages, Sharpe ratios, and benchmarking — delivered through an interactive BI report.
Designed and implemented a full relational database from the Brazilian Olist e-commerce dataset — schema design, ETL, data cleaning, and analytical SQL reporting.
Advanced SQL analytics covering trend, cumulative, moving average, performance, and segmentation analyses with customer & product reporting views for full BI insights.
Comprehensive Python Pandas reference covering modern data wrangling best practices — a go-to resource for cleaning, transforming, and analyzing tabular data.
Built a strong academic foundation in data analytics, databases, statistics, programming, business intelligence, and data-driven problem solving.
Continuously building practical skills in cloud platforms, data analytics, BI dashboards, ETL workflows, and modern data tools to prepare for entry-level Data Analyst and Data Engineer roles.
Actively seeking entry-level opportunities in Data Analytics, Data Engineering, Business Intelligence, and cloud/data-related roles.