Finance · Analytics · Communication
Finance Student & Entrepreneur
UT Dallas Finance student with a 3.87 GPA, building a track record of independent ventures, data-driven decision making, and professional communication — ready to bring that same energy to any opportunity.
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Get to Know Me
I'm a Finance student at UT Dallas with a 3.87 GPA — but my story doesn't start or end in a classroom. Here's a little more about who I am outside of work and academics.
Projects
This project involved receiving a poorly written, error-filled internal email from a fictional sales office manager (Suzanne Padilla) and completing three tasks: annotating the original draft with tracked changes and editorial comments, rewriting the email from scratch in a professional tone, and composing a reply email to Ms. Padilla summarizing my revisions and reasoning.
This project sharpened my ability to distinguish between casual and professional register. The original email had over a dozen errors — from misspellings and grammar issues to damaging asides and passive-aggressive tone. Rewriting it forced me to prioritize: what's the core message? What should be cut? I learned that effective business communication isn't just about being correct — it's about being clear, confident, and considerate of the reader's time. The revision I produced was roughly half the length of the original and far more actionable.
[Add a brief description of your team presentation topic, your role on the team, and what the presentation covered. What was the deliverable? Who was the audience?]
[Add your personal reflection here. What did you contribute? What communication skills did you develop or strengthen? What would you do differently?]
Over four weeks I tracked three personal metrics daily — exercise duration and type, mood score (1–10), and step count — logging 26 days of data across activities including gym sessions, yoga, cycling, HIIT, running, hiking, and walking. Using Excel, I built a structured three-sheet workbook: a raw data log with daily notes, a weekly summary with averaged metrics across all four weeks, and a charts sheet with visualizations. I used AVERAGE, COUNTIF, MAX, and CORREL functions to surface patterns, including a correlation between exercise duration and mood score, and identified which workout types tended to produce the highest energy days.
This project taught me that collecting data is only the first step — the real skill is structuring it so it actually tells a story. I came in expecting to just fill a spreadsheet, but building the weekly summary and correlation formula revealed something I hadn't noticed: my highest mood days almost always followed longer exercise sessions. That kind of insight only became visible once the data was organized properly. What I took away most was that good data communication means designing your workbook around the question you're trying to answer, not just recording what happened.
Extended Application — Private Capital Analytics
The data skills I developed here directly informed my independent work. For a client of my Private Capital Analytics Venture, I built a far more advanced Excel system tracking 1,303+ sessions over 142 days — logging transaction volumes, return rates, cashback figures, and IRS net calculations across multiple sheets, with a daily average gain of $483 and an 18.1% overall return rate. The structured thinking I learned here scaled directly into that real-world application.
As a social media freelancer for Porsche Austin, I produced short-form video and photo content showcasing pre-owned Porsche inventory. Working directly with the sales team to select vehicles and confirm specification details, I created posts designed to convert viewer attention into qualified buyer inquiries. Content was published collaboratively through my personal TikTok platform @sync.reviews, where I had already built an audience and content infrastructure — making it a natural distribution channel for dealership inventory content.
This role pushed me to apply business communication skills in a real, high-stakes context. Porsche buyers are discerning — vague or generic content gets ignored. I had to learn how to highlight the specific details that enthusiasts actually care about: model year, trim, condition, and provenance. Every post was essentially a professional business message with a clear audience, purpose, and call to action, just delivered through video instead of email. It reinforced for me that good communication is about knowing your reader, regardless of the format.
Founded in November 2024, this independent venture applies rigorous statistical analysis to high-volume, probability-based decision environments. I built Python-based automation workflows to improve execution consistency, developed simulation models to evaluate expected value and variance across repeated transactions, and implemented capital allocation and risk management frameworks to manage volatility and optimize long-term performance. Within one year the venture generated over $2,000,000 in cumulative transaction volume across a roster of 6 active clients. For each client I build a fully bespoke Excel tracking system — logging sessions, modeling return rates, calculating tax exposure, and delivering clear performance reporting. The sample data below represents a single client's performance dashboard over 142 days.
Python automation, statistical simulation, expected value modeling, variance analysis, capital allocation strategy, Excel dashboard design, client reporting, and risk management. This venture represents the direct application of my Finance education to a real, self-directed, revenue-generating operation — built from scratch with no outside capital and scaled to 6 clients within the first year.
Professional Background
Let's Connect
I'm always open to new opportunities, conversations, and collaborations. Feel free to reach out through any of the channels below.
University of Texas at Dallas · Bachelor of Science in Finance · Class of 2029