Izzuddin Ahsanujunda

Machine Learning Engineer at Rakuten

Tokyo, Japan
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Summary

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Senior
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Top School
Izzuddin Ahsanujunda is a Machine Learning Engineer with nine years of experience building data-driven products and production ML infrastructure, currently at Rakuten in Tokyo. He blends data science and full-stack development skills to translate business and marketing problems into statistically rigorous, scalable solutions—often running on Apache Spark and cloud platforms. At DANA he led efforts to standardize analytics practices, migrate Spark infrastructure to Alibaba Cloud, and design a unified deployment architecture that sped model releases and increased measurable business impact through causal inference and experimentation. His background in 3GPP telecom charging systems and an MSc in Software Engineering (Big Data) from Queen Mary give him both domain depth and strong engineering discipline. Colleagues describe him as a hobbyist programmer immersed in the Node.js ecosystem who brings practicality and engineering rigor to analytics adoption across product, risk, and compliance.
code9 years of coding experience
job8 years of employment as a software developer
bookBachelor of Engineering (BEng), Computer Engineering, Bachelor of Engineering (BEng), Computer Engineering at Universitas Indonesia (UI)
bookMaster’s Degree, Software Engineering, Big Data, Master’s Degree, Software Engineering, Big Data at Queen Mary, U. of London
languagesIndonesian, English, Japanese
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Github Skills (38)

sqlite10
python10
cordova10
data-science10
data-manipulation10
dataframes10
pandas10
manipulation10
data-structures10
frame10
data-analysis10
mysql9
mariadb9
postgresql9
react-native9

Programming languages (9)

TypeScriptJavaScalaJavaScriptHTMLJupyter NotebookRubyStylus

Github contributions (5)

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iahsanujunda/spark

Aug 2020 - May 2021

Apache Spark - A unified analytics engine for large-scale data processing
Contributions:22 PRs, 11 pushes in 8 months
analyticsdata-processingapachebig-dataspark
iahsanujunda/feature_engine

Jul 2020 - Jan 2023

Feature engineering package with sklearn like functionality
Contributions:6 PRs, 3 pushes in 2 years 6 months
pythondata-sciencesklearnmachine-learningengineering
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