- Context
- After being tasked with a business-analytics report comparing median starting salaries with mid-career median salaries across 138 school districts, I analyzed the data and made a recommendation.
- Claim
- This shows I can solve real problems by not just building regression models but analyzing the data to choose the best-fit solution based on evidence and reasoning.
- Reasoning
- I explained what the data means beyond an Excel sheet and a set of quadratic models. That statistical reasoning and clear writing are the skills the law profession looks for.
5 · Portfolio
Work That Verifies the Claims
I've laid out each sample the same way as the analysis: Context (why it was created), Claim (what skill it proves), and Reasoning (how it supports my persona).
Nationwide Routing & Cost Analysis
Business analysis & recommendation · Automatic Pool Covers
Full deliverable kept confidential (internal company work).
- Context
- During my logistics internship with Automatic Pool Covers, I was tasked with analyzing years of prior work-truck data to find AI software that could make routing more efficient across 35+ service markets, with millions of dollars in savings at stake.
- Claim
- This shows I'm highly capable of running the analysis and advising on software that cuts costs and time. By letting the data drive the decision, I reach a solution efficiently.
- Reasoning
- I used evidence and data to reach a conclusion and to seek out answers to the problem. It's the clearest proof of my "evidence-first" brand, the same ability legal analysis demands.
- Context
- My Digication ePortfolio collects several artifacts that highlight my range of development and the skills needed to succeed.
- Claim
- This shows I can analyze where I've been and where I'm going, along with each skill and my reflection on it.
- Reasoning
- Analyzing and reflecting on my work is how I develop and improve. It speaks to my drive to keep getting better.
- Context
- Several sets of Tableau dashboards I built across my business-analytics courses, each one turning a raw dataset into a visualization a reader can interpret.
- Claim
- This shows I can work with quantitative data and design visuals that hold up to questions and research, so a reader can draw conclusions from any dataset.
- Reasoning
- I'm strongly analytical, especially in a visual setting, and I use it to inform viewers about the questions and data at hand.
Tableau Visualizations
Dashboards and stories from my business-analytics courses. Each preview opens the live, interactive version on Tableau Public.
