Canada

Data Product Management

Full stack

Data Engineering

Data Scientist

Data engineering

AI/ML Engineering

The University of Tokyo

The University of Aizu

Takuya Kitazawa

Independent Consultant

Communication

Collaboration

Problem-solving

Time management

Empathy

Team player

Public Speaking

AI/ML

Blog writing

Business intelligence

Cloud computing

Data mining

Data visualisation

Human computer interaction

Product roadmap

Prototyping

Airflow

Apache Spark

ChatGPT

Java

JavaScript

Julia

Python

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

Tips for transitioning into a new role or company.

Changing roles

Learn the career path and progression for product managers.

Product management career path

How to define and execute a successful launch and managing stakeholders expectations. (eg. MVP)

Launching new products or features

How to work with team members with different skill sets but towards a common goal?

Working cross-functionally

Tips on how to work and collaborate with engineers and developers.

Working with engineers

Management of 5-10 professionals, with strategic technology oversight in the organization's digital transformation.

Enabling individuals and small businesses (up to 150 people) to transform data into measurable business impact through scalable analytics pipelines, ML/NLP solutions, and customer-facing applications.

Services: Full-stack software development, data science consulting, product management, technical mentorship, and strategic advisory. Learn more at takuti.me/services.

Worked full-stack on Amazon's "Buy Again" repeat purchase recommender system, including its frontend components and backend data pipelines.

In charge of machine learning product development.

Regularly contributed to the development of the scalable machine learning package. The project retired from the Apache Incubator program in Sep 2022 and is currently available at: https://github.com/hivemall

Takuya Kitazawa🇨🇦