Takuya Kitazawa

  • M.S. in Information Science and Technology, specialized in recommender systems.
  • 6+ years of industrial hands-on experience as a software engineer, OSS developer, data scientist, machine learning engineer, and product manager.
  • Productizing machine learning and data science services on Treasure Data Customer Data Platform, an enterprise big data analytics SaaS platform.
  • Passionate about bridging a gap between advanced technologies and real-world business problems.
  • Eager to wear many hats in global teams. Past experiences include but are not limited to: technical evangelist, pre-sales engineer, solutions architect, and consultant.


10/2020 – Present

Senior Product Manager

02/2021 – Present

Treasure Data (Canada), Vancouver, BC, Canada

10/2020 – 02/2021

Treasure Data, Tokyo, Japan

02/2020 – 09/2020

Product Manager

04/2019 – 02/2020

Staff Engineer

07/2018 – 03/2019

Senior Engineer

Arm, Tokyo, Japan

(Spin-off Treasure Data as an independent organization)

As an engineer:

  • Evangelized the connection of big data, machine learning, data science, and IoT, both internally and externally.
  • Worked closely with an internal sales engineering team and served as a data science consultant to accomplish customer-facing machine learning projects in a wide variety of industries, including retail, gaming, and online media.
  • Represented individual contributors in Arm's data business unit, and mapped out granular IoT-data integrated use cases and solution ideas through customer-facing work with global teams.
  • Led the development of a brand-new Python client tool for an enterprise big data analytics platform, and renovated the surrounding data science ecosystem from the product standpoint.

As a product manager:

02/2017 – 07/2018

Data Science Engineer

Treasure Data, Tokyo, Japan

(Acquired by Arm)

  • Regularly contributed to the development of Apache Hivemall, a scalable machine learning library running on Apache Hive and Spark.
  • Led the development of out-of-the-box machine learning applications from competitor analysis and requirement gathering to system implementation and customer onboarding.

12/2016 – 01/2017

R&D Intern

Silver Egg Technology, Tokyo, Japan

Conducted in-depth data analysis on customer's purchase data collected from a real-world e-commerce service, and applied a novel recommendation algorithm, which has been proposed as a part of my master's thesis, that resolves unique problems associated with the characteristics of data.

08/2016 – 09/2016

Machine Learning Intern

Treasure Data, Tokyo, Japan

Contributed to the development of Apache Hivemall, an open-sourced large-scale machine learning toolkit, by implementing user-defined functions (UDFs) for state-of-the-art recommendation and anomaly detection techniques.

Led the PoC implementation of a next-generation anomaly detection system for multiple metrics, collected from an enterprise big data management platform.

10/2015 – 06/2016

Part-time Software Engineer

08/2015 – 09/2015

Software Engineering Intern

Rakuten Institute of Technology, Tokyo, Japan

In the research organization, I have worked on the development of recommendation algorithms for an online golf booking service. Based on a previous study, I have conducted further assessments and proposed improvement ideas in terms of both theory and practice.

02/2012 – 02/2013

Part-time Software Engineer


Contributed to the development of (1) PHP applications for a Japanese avatar-based social networking service, and (2) an iOS application for virtual trial fitting using an image blending algorithm named Poisson Image Blending.

10/2011 – 03/2013

Research Assistant / Web Developer

The University of Aizu, Fukushima, Japan

Led the development of a Ruby on Rails-based web application "Aizu Weather" for regional weather monitoring, accompanied by interactive geospatial data visualization using D3.js.


04/2015 – 03/2017

M.S. in Information Science and Technology

The University of Tokyo, Tokyo, Japan

Thesis: Persistently Cold-Starting Online Item Recommendation for Implicit Feedback Data

Advisor: Dr. Takayasu Matsuo

GPA: 4.0


04/2011 – 03/2015

B.S. in Computer Science and Engineering

The University of Aizu, Fukushima, Japan

Thesis: User Modeling in Folksonomies: Relational Clustering and Tag Weighting

Advisor: Dr. Masahide Sugiyama

GPA: 3.97

Honors and Awards:


  • Served as a teaching assistant in a Numerical Analysis course, and thought Java coding of numerical methods to 20+ undergraduates (Fall 2014)
  • Participated in Security and Programming Camp 2011 to deepen knowledge in web security (Aug 2011)