George Li
Verified Expert in Engineering
Data Scientist and Developer
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.
Portfolio
Experience
- Statistics - 8 years
- Analytics - 8 years
- SQL - 8 years
- Python - 7 years
- Big Data - 7 years
- Tableau - 5 years
- Management - 2 years
- Google Cloud Platform (GCP) - 1 year
Availability
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
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%.
Data Analyst
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.
Experience
IoT Asset Maintenance Dashboard
https://public.tableau.com/app/profile/xingmu.li3903/viz/AssetMaintenanceStatusIOT/DUM0_Home• 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.
Education
Master's Degree in Computer Science
University of Tsukuba - Ibaraki, Japan
Certifications
Databricks Certified Machine Learning Associate
Databricks
AWS Certified Machine Learning - Specialty
Amazon Web Services
AWS Cloud Quest Cloud Practitioner
Amazon Web Services
Product-led Certification
Pendo.io
Product Analytics Certification
Pendo.io
Lakehouse Fundamentals - Databricks
Databricks
Certified Tableau Consultant
Tableau
Skills
Tools
Tableau
Languages
SQL, Python
Paradigms
Management
Platforms
Google Cloud Platform (GCP), Databricks, Amazon Web Services (AWS), Azure
Other
Analytics, Statistics, Big Data, Cloud, Machine Learning
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