
Data Scientist at Apple
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Assessing your cultural and operational fit
Research on improving lifestyles and business using signal processing, machine learning, wearable sensing technologies, artificial intelligence and big data technologies. - General production level machine learning models - Recommendation and personalization - Machine learning in search - Deep learning - Large scale product/sentence classification, clustering, and ranking - Emotion recognition, wearable dietary habit monitoring algorithms and human activity recognition algorithms, etc.
The University of Tokyo
Doctor of Philosophy (Ph.D.), Mechanical Engineering
January 1, 2011 – January 1, 2014
The University of Tokyo
Master's Degree, Mechanical Engineering
January 1, 2009 – January 1, 2011
Apple
Data Scientist
September 1, 2019 – Present
Tokyo, Japan
Mercari, Inc.
Machine Learning Engineer
June 1, 2017 – August 1, 2019
Tokyo, Tokyo, Japan
Indeed.com
Business Intelligence Analyst
September 1, 2016 – May 1, 2017
Tokyo, Tokyo, Japan
Paidy
Data Scientist
June 1, 2016 – August 1, 2016
Tokyo, Tokyo, Japan
Rakuten
Data Scientist/Software Engineer
April 1, 2015 – June 1, 2016
Tokyo, Tokyo, Japan
The University of Tokyo
Project Researcher
October 1, 2014 – March 1, 2015
CNRS - Centre national de la recherche scientifique
Visiting Researcher
December 1, 2012 – February 1, 2013
Laboratoire Hubert Curien UMR CNRS 5516
Agentic AI
DeepLearning.AI
June 24, 2026 – Present
Build Powerful AI Agents with OpenAI Tools
Coursera
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Data Engineering on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Generative AI for Software Development
DeepLearning.AI
June 24, 2026 – Present
Fine-tuning & RL for LLMs: Intro to Post-training
DeepLearning.AI
June 24, 2026 – Present
Fundamentals of Visualization with Tableau
Coursera
June 24, 2026 – Present
SQL for Data Science
Coursera
June 24, 2026 – Present
Applied Data Science with Python Specialization
Coursera
June 24, 2026 – Present
Data Structures and Algorithms Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse companies ranging from large tech giants (Apple) to e-commerce platforms (Mercari, Rakuten) and fintech (Paidy), indicating adaptability to different organizational cultures. The breadth of experience across various data-related roles (Data Scientist, ML Engineer, BI Analyst) suggests a versatile skill set. However, the target role is 'Data Analyst,' which might be a step down from their current 'Data Scientist' role at Apple, potentially indicating a mismatch in career progression or a specific interest not fully articulated. The focus on advanced ML/AI in recent roles and certifications might exceed the typical scope of a pure Data Analyst role, potentially leading to overqualification or a desire for more advanced work.
Soft Skills & Operational Fit
The candidate's resume highlights 'Team Leadership' in multiple roles, suggesting experience in guiding projects or teams. The descriptions of past roles, such as improving search quality and customer support efficiency, indicate a results-oriented approach. However, without psychometric test results or interview data, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.