A large Public University located in the Pacfic Northwest.
Web analystics consulting.
An energy research and evaluation company.
A large Public University located in the Pacfic Northwest.
EVmatch is a peer to peer electric car charging platform.
Public school system loctaed in the Bay Area.
Nationwide customer bank
|
|
2019-2021
M.S. StatisticsTaken Courses
|
|
|
|
2013-2016
B.A. EconomicsTaken Courses
|
|
|
|
2013 - 2016
B.A. HistoryTaken Courses
|
This project breaks down the 2017 French Presidential election by economics and voting results. The project has been deployed as a shiny app. The visualizations were done utilizing the ggplot2 package and the data was wrangled using the R programming language
Star
Data was sourced from Kaggle.com and it contains thousands of observations of single bombing missions between May 15, 1940 - May 2, 1945. The purpose of the project was to explore count regression models that accurate explain the data.
Details
This project involved writing API calls from EV chargers and using SQL commands to access company databases in order to acquire the desired customer data. Once this data was acquired various visualizations and calculations using R were made and presented in a dynamic report that can be used to inform decision making company wide.
The goal of this project is to simulate and obtain probabilities for the January 5, 2021 Georgia Senate Runoff Election between incumbent Republican Senator David Purdue and Democratic challenger Jon Ossoff.
Star
The goal of this project is to accurately model the results the United Kingdom Parliamentary General Election that took place on December 12th, 2019.
Star
Conducted Demand Response analyses for several power utility companies across the country. Focusing mostly on home smart thermostat programs. Goal being to optimize energy usage during peak times to maximize financial saving and energy grid management.
A California based unities provided data that tracked a group of E-bike users during there daily rides. My role in the project was to create visualizations that mapped out where the user went and then cross reference this with potential variables that might influence movement. Such as weather or time of day.
Took an outdated manually made reporting system and automated it. Did so by moving data to cloud-based storage systems such as AWS and Google Sheets. Write code that was robust to future needs and created a new monthly PowerPoint in minutes. Then every month made a presentation regarding the finding in the report to a major international car company.
