Patrick Noda
Data Scientist at Rakuten | Tokyo, Japan
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Patrick Noda is currently making significant strides as a Data Scientist in the AI for Business Department at Rakuten, where he is at the forefront of developing innovative business tools that leverage cutting-edge machine learning and generative AI technologies. With a solid foundation in computer science from the University of British Columbia, Patrick combines his academic knowledge with practical experience to drive impactful projects that enhance business operations and decision-making processes.
In his role, Patrick is actively involved in the design and implementation of machine learning models that analyze vast datasets, enabling Rakuten to derive actionable insights and optimize customer experiences. His expertise in Python, coupled with proficiency in cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS), allows him to build scalable solutions that meet the dynamic needs of the business. Patrick's work with Large Language Models (LLMs) showcases his commitment to harnessing the latest advancements in AI, ensuring that Rakuten remains competitive in an ever-evolving digital landscape.
Patrick's collaborative spirit shines through as he works alongside cross-functional teams, utilizing frameworks such as Django, hapi.js, and React Native to develop user-friendly applications that integrate seamlessly with existing systems. His strong foundation in MySQL further enhances his ability to manage and analyze data efficiently. As he continues to explore the intersection of software engineering and machine learning, Patrick Noda is poised to make a lasting impact at Rakuten and within the broader tech community.
Data Scientist at Rakuten in May 2024 to December 2024
Full-stack Engineer at OnTraccr Technologies in September 2022 to August 2023
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The University of British Columbia, Bachelor of Science - BS
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Go (Programming Language)
TypeScript
Java
C++
C
Next.js
Microsoft Azure
Docker
LangGraph
LangChain
SQL
Python (Programming Language)
Google Cloud Platform (GCP)
Machine Learning
Large Language Models (LLM)
Amazon Web Services (AWS)
Django
hapi.js
React Native
React.js
Node.js
JavaScript
MySQL
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Discover more about RakutenWhat is Patrick Noda email address?
Email Patrick Noda at [email protected]. This email is the most updated Patrick Noda's email found in 2026.
How to contact Patrick Noda?
To contact Patrick Noda send an email to [email protected]. (updated on October 03, 2024)
What company does Patrick Noda work for?
Patrick Noda works for Rakuten
What is Patrick Noda's role at Rakuten?
Patrick Noda is Data Scientist
What is Patrick Noda's Phone Number?
Patrick Noda's phone (**) *** *** 330
What industry does Patrick Noda work in?
Patrick Noda works in the Computer Software industry.
Patrick Noda Email Addresses
Patrick Noda Phone Numbers
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