Analysis
Excel · XLOOKUP · PivotTables · SQL · Python · Google Sheets
Selected Works
From Data to Decisions
-
Excel · Financial Reporting01
18.7%
90+ share, from 31.4%
Accounts Receivable Aging Analysis
A/R aging, collection priorities, and overdue balances
View case study →31.4%Earlier18.7%LaterTwo extracts. Not a trend line.
-
SQL · Risk Segmentation02
+6.02
pts · attendance Q4 vs Q1
Student Performance Risk Analysis
Attendance trends and at-risk student identification
6,607 records
View case study → -
Python · Pandas · Revenue Analysis03
$47M
Comedy median, adjusted
Film Revenue and Genre Analysis
Genre-level revenue comparisons and distribution
Median adjusted revenue. A comparison, not a timeline.
View case study → -
Tableau · Financial Performance04
−10%
Revenue. Inventory flat.
Nike Revenue and Channel Performance
Revenue trends, sales channels, and inventory
- −13%Direct
- −16%Jordan
Published FY2025 figures. Not a monthly series.
View case study → -
Python · Statistics · Correlation Analysis05
.836
r · one coefficient
GDP and Life Satisfaction Analysis
Cross-country correlation
View case study →Drawn as one share of 1. Not country dots.
-
Probability · Statistical Modeling06
14.6%
Eagles hold rate
Fourth-Quarter Outcome Probability
Late-game probability and tail-risk assessment
View case study →14.6%One published rate. Not a betting record.
Also on the site: Database normalization
Toolkit
A few favorites from my everyday toolkit.
Visualization
Tableau · Power BI
Business + workflow
Financial Reporting · Reconciliation · Cost & Variance Analysis · Process Automation · Google Workspace · Cursor · Claude
Approach
The Why Behind
the Numbers.
01
The question
What decision does the data support?
02
The work
Financial modeling, reporting, reconciliation, and the why behind a number—not just the number itself.
03
The standard
Accuracy, practical tools, and analysis people can actually use.
Profile
My Story
Data analyst with an investigator’s eye. I turn messy operational and financial data into clear decisions through Excel, SQL, Python, and visualization.
I’m especially strong in financial modeling, reporting, reconciliation, and identifying the why behind a number—not just the number itself. I value accuracy, practical tools, and analysis people can actually use.
- B.S., Data Analytics Western Governors University
- Computational Mathematical Sciences Arizona State University
Contact
Let’s work together.
Open to data analyst, financial analyst, and analytics-focused operations roles.
Prefer text or phone? 720-467-3584