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data-storytelling's Introduction

About Daniel Carpenter

    

Currently, I am a consultant that informs executive-decision making for operational objectives.
This role applies my prior experience and education within data science, financial, statistical and economic modeling, and leadership.


My Projects and Past Experiences

📊 Data Science

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.

📈 Finance & Econometrics

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

🔒 Database Management with SQL


💻 Programming

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

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