KAFinancial Operations Manager·🟢 Open to work

First-year finance student building practical experience

I study finance at George Mason University and am gaining hands-on experience while preparing for a professional career in finance.

About meCall me

Work samples

A collection of coursework and early practical tasks that show how I apply finance concepts while I continue my studies and build experience.

  • Spire Financial Modeling Tool, https://spire-pi.vercel.app
    Spire Financial Modeling Tool, https://spire-pi.vercel.app

    Built and deployed a five-module finance platform in TypeScript and React covering portfolio risk, company valuation, M&A analysis, stock screening, and personal finance tracking. Implemented DCF, LBO, and M&A accretion/dilution models from the underlying financial formulas, drawing company data from SEC EDGAR through a weekly automated pipeline. Developed a Monte Carlo engine running thousands of simulated trials to model the full range of portfolio outcomes, weighing downside risk against expected return. Designed a SQL-based stock screener ranking 189 companies against sector medians, verifying results against each company's 10-K filing.

    TypeScriptReactSQL

About me

I study finance at George Mason University and am gaining hands-on experience while preparing for a professional career in finance.

I am Kerolous Aziz, a first-year finance student at George Mason University. I have some early work experience and am exploring how finance skills and real projects fit together as I prepare for a career in the field.

Experience

Financial Operations Manager

Rita & Brother LLC, Aldie, VA · Feb 2024 – Present

Education

George Mason University, Fairfax, VA

Bachelor of Science in Finance and Accounting, Honors College Student · Class of 2029

Skills

Introductory finance conceptsFinancial analysis basicsSpreadsheet proficiencyFinancial courseworkLearning and adapting to practical workAccountingExcelSQL Analytics
Back to work

Spire Financial Modeling Tool, https://spire-pi.vercel.app

Built and deployed a five-module finance platform in TypeScript and React covering portfolio risk, company valuation, M&A analysis, stock screening, and personal finance tracking. Implemented DCF, LBO, and M&A accretion/dilution models from the underlying financial formulas, drawing company data from SEC EDGAR through a weekly automated pipeline. Developed a Monte Carlo engine running thousands of simulated trials to model the full range of portfolio outcomes, weighing downside risk against expected return. Designed a SQL-based stock screener ranking 189 companies against sector medians, verifying results against each company's 10-K filing.

TypeScriptReactSQL
View all work