Mixed integer programming (MIP) is the optimization method used by the Gurobi solver. MIP is used to solve decision making problems across a variety of industries, such a agriculture, transportation, and manufacturing.
This was my capstone project for my master’s program, wherein I explored methods for generating predictions for discrete time series data.
This can be called many things: predictive maintenance, condition based maintenance.
Which nations offer the most attractive environment for renewable energy investments? To answer this question, my teammates and I created the Renewable Energy Momentum Index, a quantitative score encompassing each country’s market potential and receptivity to renewable energy.
This project created a Power BI report to track purchase requisitions (PRs) that are normally tracked across several external data stores.
I worked with the database team to create a SQL Server view that summarizes all of the data needed for people to track their PRs The data was inmported into Power BI report using Direct Query The report was designed such that the user’s AD information was used to display only their pertinent PRs The report is shared via an on prem Power BI Report Server
I performed data analysis for a research paper wherein we were interested in studying time series RNA-Seq data for rice. My fellow developers and I created a data analysis pipeline for the RNA-Seq data wherein we identified differentially expressed genes (DEGs) and described their gene ontology (cellular component, molecular function, biological process).
Have U.S. railroad operations become more dangerous recently? This project was inspired by recent news of the 2023 Norfolk Southern derailment in Ohio. This train accident and incident data was obtained from the Federal Railroad Administration.
