Data Analyst combining a decade of operational leadership with modern analytics. Currently completing my MS in Data Science at Ball State University (July 2026).
I build end-to-end data solutions — SQL pipelines, predictive models in Python, and interactive dashboards in Power BI and Tableau — that turn complex business data into clear, actionable insight.
Languages
Data & Analytics
Business Intelligence
Platforms & Tools
End-to-end analysis of 5 years of ERCOT hourly grid load data, featuring a Winter Storm Uri case study. Built in Python, SQL, and Power BI. Highlights: SQL ETL on 43,848 hourly records, predictive analysis, and an interactive dashboard.
End-to-end analytics simulating a Texas credit union: synthetic data generation → SQL cleaning of 35,000+ payment records → Python risk scoring → interactive Power BI dashboard with drill-through navigation. Built for a collections team to prioritize outreach to high-risk members.
Graduate applied-ML project in R comparing logistic regression, LDA, random forest, and SVM classifiers on CDC NHANES public health data. Built for DSCI 610 — Data Science for Health Information (Ball State University MS Data Science). Includes a 12-page academic report and presentation deck.
- Completing my MS in Data Science at Ball State University (graduating July 2026)
- Open to Data Analyst, BI Analyst, and Reporting Analyst opportunities — Texas-based, hybrid, or remote
- Sharpening skills in advanced SQL, predictive modeling, and data pipeline design
- LinkedIn: linkedin.com/in/jonathanamccord
- Email: Jonathan56509@yahoo.com
"The value of an analysis lies not in its complexity, but in how clearly it helps someone make a better decision."