George Li, Developer in Yokohama, Kanagawa, Japan
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George Li

Verified Expert  in Engineering

Data Scientist and Developer

Location
Yokohama, Kanagawa, Japan
Toptal Member Since
April 20, 2023

George is a data scientist and consultant with eight years of experience in manufacturing and eCommerce. He is an expert in bringing industry best practices and data-driven insights through a hypothesis-oriented approach and solution planning. He has worked with automobile manufacturers, namely Nissan, on operations to reduce the rate of equipment failure. George is an established professional seeking his next challenge.

Availability

Part-time

Preferred Environment

Tableau, Python, SQL, Google Cloud Platform (GCP), Big Data, Databricks, Amazon Web Services (AWS), Azure

The most amazing...

...skill I've obtained is helping support key business objectives and deliver outcomes beyond expectations.

Work Experience

Data Scientist

2020 - 2023
Rakuten
  • Supported stakeholders on bookmark function implementation and decision-making. Increased shop revenue by 62 million per year by promoting user bookmark usage. Developed and scaled this approach to four other eCommerce shops.
  • Improved the product recommendation logic that lifted the click-through rate (CTR) by 93%, the conversion rate (CVR) by 87%, and revenue by 125% in two weeks. Reduced four man-hours per week by automating the generation of recommended products.
  • Built a purchase probability model to identify users with high purchase potential and improve ads and campaign performance.
  • Supported five brands of two national clients that increased the average CTR by 72% and return on advertising spend (ROAS) by 213%.
Technologies: Python, SQL, Google Cloud Platform (GCP), Tableau

Data Analyst

2015 - 2020
Nissan
  • Designed and developed an anomaly detection classification model for operations to reduce the rate of equipment failure. Prevented production line downtime for three hours twice in one year, which reduced the loss of 54 million in labor costs.
  • Improved the stability of the brake oil filling amount by analyzing the factors affecting the filling amount and the comparison of the 4M fishbone diagram.
  • Led and promoted the development of advanced diagnostic technologies to overseas plants and enabled overseas factories to adopt 17 development cases in a year.
Technologies: SQL, Python

IoT Asset Maintenance Dashboard

https://public.tableau.com/app/profile/xingmu.li3903/viz/AssetMaintenanceStatusIOT/DUM0_Home
I contributed to the IoT asset maintenance dashboard. This project has three objectives:
• Monitor the maintenance situation and time spent each month in the past to see if the asset is maintained stably.
• Prioritize the asset with a short operation time that allows all assets to be used.
• Predict the asset that needs maintenance next month so that the material can be prepared in advance.

Languages

SQL, Python

Tools

Tableau

Other

Analytics, Statistics, Big Data, Cloud, Machine Learning

Paradigms

Management

Platforms

Google Cloud Platform (GCP), Databricks, Amazon Web Services (AWS), Azure

2013 - 2015

Master's Degree in Computer Science

University of Tsukuba - Ibaraki, Japan

JULY 2023 - PRESENT

Databricks Certified Machine Learning Associate

Databricks

MAY 2023 - PRESENT

AWS Certified Machine Learning - Specialty

Amazon Web Services

MARCH 2023 - PRESENT

AWS Cloud Quest Cloud Practitioner

Amazon Web Services

MARCH 2023 - PRESENT

Product-led Certification

Pendo.io

MARCH 2023 - PRESENT

Product Analytics Certification

Pendo.io

FEBRUARY 2023 - PRESENT

Lakehouse Fundamentals - Databricks

Databricks

FEBRUARY 2023 - PRESENT

Certified Tableau Consultant

Tableau

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