Daiki Chiba
Contents
Daiki Chiba#
About#
Work History#
2019/07 ~ 2022/01/15: ML Engineer
2019/09 ~ 2019/11 :
develop a recommendation model.
2020/01 ~ 2020/06 :
develop a prediction model for test data of memory devices as lead
documentation, analysis, analysis policy review, presentation, etc.
2020/09 ~ 2022/12/31:
develop models to assess the level of user who learn English
documentation, analysis, analysis policy review
mlops using AWS, CircleCI, etc.
develop a system to develop models using AWS Sagemaker Training job by pushing to GitHub
2022/01/16 ~ 現在 : Data Scientist
develop software related to machine learning
to recognize and parse the image of table in Invoices
Skills#
OS:
Linux ☆☆☆
MacOS ☆☆☆
Windows ☆
Language:
Python ☆☆☆
Julia ☆☆
Shell Script ☆☆
SQL ☆
Rust ☆
Terraform ☆
TypeScript ☆
Library:
Numpy ☆☆☆
Pandas ☆☆☆
scikit-learn ☆☆☆
LightGBM ☆☆☆
XGBoost ☆☆☆
PyTorch ☆☆☆
pytest ☆☆
etc.
CI:
CicleCI ☆☆
GitHub Action ☆☆
GitLab ☆☆
Cloud:
AWS
EC2 ☆☆
ssm ☆
ECS ☆
Sagemaker ☆☆
s3 ☆☆
RDS ☆
Lambda ☆
What I did#
Competive Programming
Statistics
Development
What I would like to do#
social implementation of machine learning / statistics / algorithm
develop software related to machine learning
mlops
modeling using machine learning