TeamBlueLock
Full-stack financial operations platform built with Next.js and MongoDB. Features inventory management, ingredient costing, profit-margin analysis, and operational reporting dashboards.
Next.js • MongoDB • Playwright • JestSelected Work
Full-stack financial operations platform built with Next.js and MongoDB. Features inventory management, ingredient costing, profit-margin analysis, and operational reporting dashboards.
Next.js • MongoDB • Playwright • JestDeveloped machine-learning models using financial indicators and market data to predict short-term stock movements while evaluating model performance against real market outcomes.
Python • Finance • Machine LearningBudgeting and financial management platform featuring transaction tracking, spending analytics, and budget variance monitoring.
Finance • Analytics • Web DevelopmentMulti-school roommate discovery platform with messaging functionality, profile matching, and housing collaboration tools.
React • Full Stack • Product DesignCurrency conversion application integrating live exchange-rate data and international market pricing to support real-time financial calculations.
Python • APIs • FX MarketsStatistical analysis workflow using regression models, robust standard errors, multicollinearity testing, and financial datasets.
R • Econometrics • Quantitative FinanceResearch
Does R&D investment intensity predict annual stock returns differently across technology and non-technology firms?
Empirical finance study testing whether R&D investment intensity predicts annual stock returns for 100 publicly traded firms, split between technology and non-technology sectors.
Short research design from inputs to interpretation.
R&D intensity, firm size, profitability, and sector classification.
Tested whether R&D investment predicts annual stock returns.
No statistically significant R&D premium detected.
Consistent with Efficient Market Hypothesis reasoning.
Luther College ITS — 2025
NNPC Limited — 2024
Ozyberg Sicurezza Limited — 2026
Luther College Residence Life — 2023–2026
Experience
My experience spans enterprise infrastructure, DevOps automation, finance leadership, residence life budget management, and administrative operations.
About
My background spans three countries and two disciplines. That combination shaped how I approach problems: analytically, quantitatively, and with a global perspective.
Early exposure to business, markets, and entrepreneurship.
UWC Mahindra College and an international academic foundation.
Computer Science + Economics at Luther College.
Contact
Open to roles and conversations across finance, data analytics, investment analysis, and software-backed financial operations.