Areas Matthew Brondum is Knowledgeable in:
Data analytics, data science, operations research, math modeling.
Techniques Matthew Brondum Uses:
Decision analysis, multi-criteria decision analysis, dynamic programming, linear programming, non-linear programming, portfolio optimization, probabilistic modeling, stochastic modeling, discrete event simulation, algorithm design, systems design, systems dynamics, bayesian networks
Matthew Brondum's Problem Solving Skills:
- Decision Analysis
- System Design
- Bayesian Networks
- Optimization
- Linear Programming
- Non-Linear Programming
- Discrete Event Simulation
- Quality Control
- Project Management
- Value-based assessments
- Spreadsheet Modeling
- Python
- Time Studies
- R
- Visual Basic for Applications
- Mathematical Modeling
Matthew Brondum's Problem Solving Experience:
- I built a geo-spatial model to determine how the private sector responded to Hurricane Sandy in the NYC Metropolitan area. I have presented this work at multiple conferences.
- I utilized association rule mining on point of sale data from a large grocery chain to enable effective decision making on product assortments.
- I created my own internship which attempted to develop a systematic, data-driven way to identify repeat offenders using a criminal database.
- I developed a decision model which aids land managers in choosing from a variety of eradication techniques for invasive wild pigs.
- I identified weaknesses in business intelligence by analyzing a data set of over 100,000 news sources, concluding that the current system for maintaining web crawlers was highly inefficient.
- I developed a decision framework that analyzes nano-materials and allows the user to prove to regulators that their material is safe for humans and the environment. Further, I developed the software to allow a user to seamlessly go through the framework.