Available for finance, data, and technology opportunities

Daniel Nnodim

Computer Science × Economics

Finance-focused technologist with experience in financial modelling, quantitative research, full-stack financial applications, and enterprise process improvement.

Selected Work

Computer Science & Finance Projects.

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 • Jest

AI Stock Prediction Research

Developed 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 Learning

Personal Finance Tracker

Budgeting and financial management platform featuring transaction tracking, spending analytics, and budget variance monitoring.

Finance • Analytics • Web Development

Roommate Matching Platform

Multi-school roommate discovery platform with messaging functionality, profile matching, and housing collaboration tools.

React • Full Stack • Product Design

Currency Converter

Currency conversion application integrating live exchange-rate data and international market pricing to support real-time financial calculations.

Python • APIs • FX Markets

Financial Data Research Toolkit

Statistical analysis workflow using regression models, robust standard errors, multicollinearity testing, and financial datasets.

R • Econometrics • Quantitative Finance

Research

Research Question

Does R&D investment intensity predict annual stock returns differently across technology and non-technology firms?

Model Logic

Short research design from inputs to interpretation.

01

Inputs

R&D intensity, firm size, profitability, and sector classification.

02

OLS Regression

Tested whether R&D investment predicts annual stock returns.

03

Finding

R² ≈ 0.01

No statistically significant R&D premium detected.

04

Interpretation

Consistent with Efficient Market Hypothesis reasoning.

Network Technician

Luther College ITS — 2025

DevOps Engineer Intern

NNPC Limited — 2024

Incoming Head, Finance & Investment

Ozyberg Sicurezza Limited — 2026

Resident Assistant

Luther College Residence Life — 2023–2026

Experience

Operational, technical, and financial exposure.

My experience spans enterprise infrastructure, DevOps automation, finance leadership, residence life budget management, and administrative operations.

About

Built across continents. Focused on finance.

My background spans three countries and two disciplines. That combination shaped how I approach problems: analytically, quantitatively, and with a global perspective.

01

Nigeria

Early exposure to business, markets, and entrepreneurship.

02

India

UWC Mahindra College and an international academic foundation.

03

United States

Computer Science + Economics at Luther College.

Finance Research Software Leadership

Contact

Let’s connect.

Open to roles and conversations across finance, data analytics, investment analysis, and software-backed financial operations.