Shigeo Kitamura

Data Scientist

Vancouver, British Columbia, Canada
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Shigeo Kitamura is a Vancouver-based data scientist with 11 years of experience bridging full-stack engineering and data systems to deliver data-driven products. He started building Ruby on Rails + React web apps and evolved into designing robust data pipelines, ETL automation, and model-driven features that improved performance and reduced operational costs across ad-tech and influencer platforms. At Supership and UltraImpression he led pipeline and reporting automation efforts that cut manual work and execution time dramatically, and contributed front-end fixes to Tokyo’s COVID-19 site that reflect his attention to production reliability. More recently he has expanded into ML quality assurance at Cohere and continues to apply hands-on engineering at TIS, blending Python, BigQuery, and modern web stacks to turn messy data into actionable insights. An active Kaggle competitor and open-source contributor, he pairs pragmatic engineering with curiosity for applied ML and product impact.
code10 years of coding experience
job6 years of employment as a software developer
bookDiploma, Data Science, Diploma, Data Science at CICCC - Cornerstone International Community College of Canada
bookMaster's degree, Informatics, Master's degree, Informatics at Kansai University
languagesEnglish, Japanese
github-logo-circle

Github Skills (9)

html10
javascript10
front-end-development10
vue10
vue-jsx10
co9
covid-testing9
vi9
css9

Programming languages (6)

VueJavaScriptGoJupyter NotebookRubyPython

Github contributions (5)

github-logo-circle
Tokyo-Metro-Gov/covid19

Mar 2020 - Mar 2020

東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website
Role in this project:
userFront-end Developer
Contributions:10 commits, 1 PR, 3 comments in 1 day
Contributions summary:Shigeo's commits primarily focus on addressing duplicate canvas element IDs within the `pages/index.vue`, `components/TimeStackedBarChart.vue`, `components/TimeBarChart.vue`, and `components/MetroBarChart.vue` files. These commits suggest a focus on correcting underlying issues within the front-end chart components. Further commits indicate integration and updates to print layouts, in addition to addressing the chart element ID's.
tokyotypescriptforcetask-force
netkeiba.comのデータをスクレイピングし、csvに保存します。
Contributions:22 commits, 2 PRs, 15 pushes in 8 months
csvdotnetcsharp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial