Takaaki Furuse
Data Engineer
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolTakaaki Furuse is a data engineer based in Chiyoda, Tokyo, with 11 years of cross-domain experience bridging advertising/printing and retail data environments. He combines an MBA in finance with hands-on backend development skills gained at Dev Bootcamp—comfortably building Sinatra web apps with Ruby, ActiveRecord and JavaScript. At work he pairs strong technical problem solving with team-focused empathy and psychology-informed collaboration, and he brings substantial pair-programming experience to accelerate delivery. His open-source contributions include practical low-level fixes to the high-performance Rust XML library quick-xml and maintenance work on pandas exercise notebooks, reflecting both systems-level attention to encodings and day-to-day data tooling needs. Actively seeking backend roles in Tokyo, he pairs a love of coding with interests in martial arts, reading and cooking that inform a disciplined, curious approach to engineering.
11 years of coding experience
BA, BA at Nihon University College of EconomicsStudent, Student at Dev Bootcamp (NYC)San Diego State UniversityMBA, MBA at California State University-Fullerton - College of Business and Economics
English, Japanese
Stackoverflow
7reputation
1kreached
0answers
4questions
Github Skills (23)
pandas10
xml-parsing10
xml10
jupyter-notebook10
rust10
data-analysis10
reader9
data-cleaning9
user-manual8
writers8
testing7
serialization7
data-serialization7
deserialization7
python7
Programming languages (11)
Github contributions (5)
guipsamora/pandas_exercises
Apr 2018 - Apr 2018
Practice your pandas skills!
Role in this project:
Data Scientist
Data ScientistContributions:25 commits, 10 PRs, 25 comments in 1 day
Contributions summary:Takaaki primarily contributed to exercises related to data analysis using the pandas library. Their commits involved modifying and updating Jupyter notebooks within the `pandas_exercises` repository. Specific tasks included changing URLs, file names, and directory structures to reflect updated data sources, executing cells, and updating output results. These modifications suggest a focus on ensuring the exercises remain functional and aligned with the current data and exercise requirements.
data-analysispythonpandasdata-science
tafia/quick-xml
Jan 2020 - Mar 2020
Rust high performance xml reader and writer
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 1 PR, 11 comments in 1 month
Contributions summary:Takaaki primarily contributed to the `quick-xml` repository by implementing and debugging functionalities related to reading and writing XML data, specifically focusing on handling UTF-8 and other encodings, and byte order marks (BOMs). Their work includes adding a helper method to skip BOMs and improving how the reader handles different encodings and BOMs. Furthermore, the user addressed a bug related to reading text with BOMs and made changes to reader and unit tests files.
deserializationrustxmlserializationxml-parser
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