December 6, 2020

Used car classification and regression

Project Background This project is a group effort collaboration for Syracuse University’s IST-718 - Big Data Analytics. The project, using pyspark explores a large dataset of car sales data. The motivation behind exploring this dataset stems from the COVID-19 pandemic; specifically in response to the emerging news of car payment re-structuring from many different dealerships. The economic impact of the pandemic must’ve negatively impacted the volume of sales for the automotive retail market as well as peoples ability to finance a car purchase.

November 30, 2020

Gaming, streaming and game interest

Project Background This project is a group effort collaboration for Syracuse University’s Marketing Analytics coursework. The project explores multiple data sources and data collection methods to attempt to organize streaming and gaming popularity data to be analyzed to observe the relationships between game success, game interest and game streaming metrics. Overview The gaming community is unique in behavior, but is more unique in the potential to record, predict and model varying behavioral patterns within the community.

May 1, 2020

Two-way distributed grids

Project Background This project is a look into the behavior of distributed grids which there are both aggregators, producers and consumers. Today, the grid is primarily uni-directional - meaning the electricity is produced by producers, and consumed by consumers. If managed properly, enabling production by grid nodes which are historically consumers could lead to more accessible, resilient and efficient electrical grid system. For this analysis, a Monte Carlo simulation is run with the following rules: