I help advise executive leadership on enterprise-level capital projects, while concurrently developing the approaches to algorithmic investment modeling. Within these areas, I apply and build my experience in data science, finance, economics, and leadership. In 2023, I obtained a Master's in Data Science at the University of Oklahoma's College of Engineering.
This repository showcases shareable projects. Click image or view my portfolio at daniel-carpenter.github.io/Portfolio.
| Topic | Description |
|---|---|
Linear and Integer Optimization with Python and Gurobi | Key decision-making models for long-term corporate-level planning |
Advanced Linear/Integer/Mixed Binary Optimization in Python | Advances above modeling in breadth and depth by tackling meticulate complexities of large cooperate level decision making |
Heuristic and Metaheuristic Optimization in Python | Goes beyond linear programming to conquer real-world situations using concepts from simulated annealing, genetic algorithms, and particle swarm optimization |
Delivery Service ETA Prediction Model in R | Ensemble of machine learning algorithms in R to predict estimated delivery time for food delivery service, given delivery conditions. |
Applied Predictive Analysis in R | Applies ML, deep learning, decision trees, traditional multivariate analysis, PCA, PCR, SVM, and elastic net to real-world business problems. |
Bayesian Data Science and Simulation in R | The heart of many machine learning algorithms, plus enhancements to classical estimation and frequentist approaches (e.g., overcoming OLS or NHT) |
| Key Modeling Functions | Matrix of modeling functions across R, Python, and Julia |
| Personal Package Dev. in R | Self-built package to enhance delivery of visualizations in R's ggplot2 package. |
| Topic | Description |
|---|---|
Stock Portfolio Optimization Analysis in Python | Realtime Stock Portfolio Optimization Model in Python using Modern Portfolio Theory and Particle Swarm Optimization |
| Investment Fund Management | Earnings projection and valuation modeling for the mid-cap fund, using strategy of discovering undervalued assets. Ultimately moving over $205k of money-market assets |
Econometrics in R | Cheat Sheet, a Gentle Overview, and the assumptions/R code to overcome bias |
| Machine Learning and Economics | Overview of how Machine learning juxtaposes itself to econometrics |
- End-to-end Azure cloud database management project, plus more
- The basics of SQL
- Relevant code snippets for managing a database
| Topic | Description |
|---|---|
| Intro to OOP | The basics to being a better object-oriented programmer and Data Scientist |
| Advanced OOP and Abtractions | Objected-oriented programming with challenging projects leading into Data Science applications |
| Intro to R | An advanced MCMC project that walks you through R |