Thomas Yokota


The Hawaiian Electric Company        

Planning Analyst        


Supported long-term planning initiatives by providing forecasts on energy demand and peak load for various customer-types such as residential/commercial units and electric buses to ensure that future investments are made responsibly while meeting customers’ future needs.  

The Queen’s Health Systems        

Research Data Analyst

2015 - 2017

Consulted physicians and management on projects that entailed enhancing and/or expanding clinical practices to meet growing need of health services across the state.

Conducted analysis on clinical volumes, market share and health outcomes to support operational and financial decisions and prepared findings to both executive leadership and the board for approval. This work entailed synthesizing data from disparate sources such as complex surveys by the CDC, spatial data, US Census data and hospital data (inpatient, outpatient and ED).

Papa Ola Lokahi

Health Data and Resource Specialist        

2014 - 2015

Consulted executive leadership across the Native Hawaiian health system on identifying and developing processes to capture clinical metrics for federal reporting. Work included analyzing current trends on Native Hawaiian health outcomes across the systems and identifying opportunities for a system-wide approach to addressing health needs that aligned with HEDIS and UDS goals.

Good Beginnings Alliance

Policy Analyst        

2012 - 2014

Supported efforts to improve childhood outcomes in both education and health by providing analytical support, conducting literature reviews and presenting key findings at public hearings or written testimony.

Heightened awareness on children's needs at the legislature by preparing data products such as interactive choropleth maps contrasting childhood outcomes by school and local senate & house district levels.


University of Hawaiʻi at Mānoa

Dec 2011

MPH Public Health, Biostatistics & Epidemiology

July 2007

MEd Education Foundations

July 2005

BA English


Analytics: natural language processing, machine learning, deep learning, statistics, epidemiology

Statistical Software/Programming: Python, R, SAS, SQL, JavaScript

Software: Microsoft Office (Word, Excel, Powerpoint, Access), Adobe Illustrator and InDesign