Koichi Ito

Koichi Ito

PhD Student in Urban Analystics at the National University of Singapore

National University of Singapore

Biography

Koichi Ito is a PhD student at the National University of Singapore and has work experience as a consultant at the World Bank Group by leveraging programming skills, interested in researching human mobility with emerging spatial data sources, such as street-view imagery, and machine/deep learning techniques.

Download my resumé.

Interests
  • Urban analytics
  • Spatial analysis
  • Human mobility
Education
  • PhD, 2022-

    National University of Singapore

  • Master of Urban Planning, 2019-2021

    National University of Singapore

  • BA in Liberal Arts, 2015-2019

    Soka University of America

Skills

GIS

100%

R

100%

Python

90%

SQL

70%

Statistics

60%

Azure & AWS

50%

Experience

 
 
 
 
 
World Bank (Poverty and Equity Global Practice)
Consultant
Apr 2021 – Jul 2021 Washington, D.C. (Remote)
  • Examined the impacts of conflicts on socio-economic indicators in the Central African Republic
  • Built Shiny dashboard apps to facilitate analysis of project target indicators in Mozambique, Tanzania, and Romania
  • Designed a training on GIS and R for government officials in Tanzania
 
 
 
 
 
Urban Analytics Lab at National University of Singapore
Research Assistant
Jul 2020 – May 2021 Singapore
  • Conducted a systematic review on street view imagery in urban analytics and GIS studies (see the published paper here.)
  • Developed a novel method using street view imagery and computer vision to assess bikeability in Singapore and Tokyo (see the published paper here.)
 
 
 
 
 
Johnson Controls OpenBlue Innovation Center
Data Analytics Intern
Nov 2020 – May 2021 Singapore
  • Built a data pipeline of PM2.5 data, weather data, and traffic data in Singapore on Azure Synapse with a real-time dashboard on Power BI
  • Programed a real-time time-series model with LightGBM in Python on Azure Synapse
 
 
 
 
 
The World Bank Group (Tokyo Development Learning Center)
Urban Development Research Intern
Apr 2020 – Jan 2021 Tokyo
  • Collected and wrangled a comprehensive data set of more than 4,000 Tokyo-based startups’ numerous information, such as addresses, investors, and accelerators in Python (The report is available here.)
  • Visualized financial performance of light rail transport system in Toyama prefecture between 2002 and 2019 (The report is available here.)

Recent Publications

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Contact

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