About Me
With 8 years of experience as a Full Stack Data Scientist at NTT GROUP, I have led to significant, continuous improvements in data systems. Proficient in Databases, CI/CD, Data Pipelines, Business Intelligence (BI), SQL, and Python, demonstrating a wide range of skills for different types of data problems.
My expertise spans Fraud Analysis, Marketing, HR-tech, and global IoT connectivity among other areas.
Currently managing the delivery of large-scale telematics projects for leading automotive brands worldwide. I ensure seamless coordination between customer requirements and technical execution, optimizing service deployment and driving project success across multiple regions.
Beyond IoT and connectivity, I am actively exploring AI applications, leveraging LLMs, Model Context Protocol (MCP), and other advanced technologies to develop intelligent business tools. Committed to continuous learning, I stay at the forefront of technological advancements to drive innovation and efficiency.
Experience
NTT Docomo Business
Presales Engineer(5G&IOT), Tokyo
December 2024 - Present
- Led proposals and delivery support for both domestic and international connected car projects by understanding unique IT system requirements and collaborating with internal teams and global partners.
- Acted as a solution architect, ensuring successful IT system delivery for connected car projects.
- Offer technical guidance and support to the sales team on topics such as mobile networks, SASE, and IoT devices.
- Independently designed and managed system architectures integrating mobile and IT technologies with multi-vendor platforms.
I play a dual role, contributing to both the Marketing and Business Intelligence (BI) teams.
- Led in-depth marketing analysis for Ubigi’s eSIM service(travel data from around the world), leveraging advanced data analytics to drive strategic decisions and enhance service offerings.
- Collaborated closely with the Business Intelligence (BI) team to facilitate a seamless BI Platform Migration of the BI platform from on-premises to Snowflake, significantly improving data processing efficiency and scalability.
I spearheaded a six-month project where I served as the lead trainer for Guam’s BI team. I designed and delivered interactive, hands-on workshops to empower them in mastering Power BI, while also providing expert guidance on executing comprehensive customer satisfaction survey analyses.
NTT Communications
Analystics Engineer(DX), Tokyo
April 2020 - November 2023
Center of Excellence(COE) in Data Analysis. Work as an analysis consultant to help staff improve their analytical skills. Identifying problems in business processes and redesigning them in a modern digital way. I also serve as a link between the data engineer and data analyst teams within the big data group. Create services and teach the analysis team how to use the system.
- I have experience in driving business transformation for the internal audit team by helping them efficiently analyze internal risk and perform effective audits.(Fraud Analysis)
- I supported the HR department by analyzing investigations of employee engagement. Through this role, I helped HR identify areas of concern and implemented solutions to improve employee satisfaction and retention.(HR Analysis)
- I led to discuss and build data modeling guildline in bigdata team. Standardlize the process from source layer to dwh layer and datamart layer(Data Modeling).
- I have experience in proof of concept and implementation of Data Virtualization solutions ( Denodo) and Data Catalog solutions to help users accelerate their analysis.
NTT Communications
DBA+PM(Customer Service), Tokyo
April 2017 - March 2020
Project Manager responsible for the maintenance of the on-premise Oracle EXADATA Database Machine platform. Reviewing daily tasks such as capacity planning, performance monitoring, security, backups, troubleshooting, and data recovery.
- Designing and implementing a disaster backup site in a different region to ensure business continuity.
- Designing and implementing an ETL platform using OSS Talend Data Studio for the DWH team, resulting in faster data integration processes.
NTT Communications
Software Developer(Customer Service), Tokyo
April 2016 - March 2017
I have experience in developing a Master IT Facility Management System that collects and manages data from servers, network devices, and Excel files, providing reliable information via a web GUI for operators.
- Constructing Linux/Windows servers and virtualized environments using Openstack, Docker, and Ansible in an on-premise setting.
- Designing and implementing a Storage Area Network (SAN) composed of Servers, FC-switches, and VNX Storage.
- Installing and configuring a Zabbix monitoring system to monitor Servers, storage, FC-switches, and developed applications running on servers.
- Writing automated web application tests using Selenium and Python.
Tech Stack
- 5G&IOT (CellularNW, SASE, etc)
- AI (Lamaindex, LLM, Vector Database, etc)
- Database (Duckdb, Snowflake, Hadoop, Hive, Trino, Clickhouse, Kafka, Oracle, Mysql,etc)
- BI Tools (Tableau, PowerBI, Superset, Streamlit)
- Metadata Management (Datahub, OpenMetadata)
- Data Virturalization (denodo, tibco)
- ETL/ELT (DBT, Airflow, Talend, Airbyte)
- Data Quality (Dbt test, Great expectations, Pytest)
- Infra (K8S, Helm, ArgoCD,Ansible, Selenium, Sphinx,etc)
- Log Management (Elasticsearch, Kibana, Logstash, Beatsfamily)
- Microsoft Solution (GraphAPI, AzureAD, AzureSQL, WindowsServer etc)
Education
- 2014-2016, Master(Cognitive and Behavioral Sciences), Kyoto University, Kyoto
- 2009-2013, Bachelor(Information Sciences), Tianjin University, Tianjin
Languages
- Mandarin(Native)
- Japanese(High Proficiency)
- English(Business)
Personal Project
I run a small studio called LuluLab, which is inspired by my pet Lulu (a Peach-faced Lovebird). The studio primarily focuses on integrating the latest technologies in big data and AI to create interesting solutions.
- Currently, there is a sub-project called LuluEats, which, as part of social contribution efforts, provides free digitalization assistance to startup restaurants. In the future, we will continuously integrate AI and IoT technologies into the daily operations of these restaurants.