Hi, I'm Alan Choon Zhen Yu, a passionate data scientist and AI engineer based in Singapore. I specialize in supply chain optimization and analytics, leveraging advanced techniques in machine learning, generative AI, and probabilistic forecasting. With a background in mathematics, economics, and data science, I have contributed to cutting-edge projects in industries such as automotive, e-commerce, and technology startups. Throughout my career, I have led teams and developed predictive models that enhance demand forecasting, inventory management, and order delivery accuracy. I thrive on applying computational data analysis and simulation techniques to solve real-world business challenges while continuously upgrading my skills in AI and programming. I'm excited to connect with others who share my drive for innovation and data-driven decision making.

Alan Choon Zhen Yu

Hi, I'm Alan Choon Zhen Yu, a passionate data scientist and AI engineer based in Singapore. I specialize in supply chain optimization and analytics, leveraging advanced techniques in machine learning, generative AI, and probabilistic forecasting. With a background in mathematics, economics, and data science, I have contributed to cutting-edge projects in industries such as automotive, e-commerce, and technology startups. Throughout my career, I have led teams and developed predictive models that enhance demand forecasting, inventory management, and order delivery accuracy. I thrive on applying computational data analysis and simulation techniques to solve real-world business challenges while continuously upgrading my skills in AI and programming. I'm excited to connect with others who share my drive for innovation and data-driven decision making.

Available to hire

Hi, I’m Alan Choon Zhen Yu, a passionate data scientist and AI engineer based in Singapore. I specialize in supply chain optimization and analytics, leveraging advanced techniques in machine learning, generative AI, and probabilistic forecasting. With a background in mathematics, economics, and data science, I have contributed to cutting-edge projects in industries such as automotive, e-commerce, and technology startups.

Throughout my career, I have led teams and developed predictive models that enhance demand forecasting, inventory management, and order delivery accuracy. I thrive on applying computational data analysis and simulation techniques to solve real-world business challenges while continuously upgrading my skills in AI and programming. I’m excited to connect with others who share my drive for innovation and data-driven decision making.

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Experience Level

Expert
Expert
Expert
Expert

Language

English
Advanced
Chinese
Advanced

Work Experience

Senior Data Scientist, Supply Chain Optimization at Hyundai Motor Group Innovation Center Singapore
August 1, 2024 - Present
Developed demand forecasting models to predict electric vehicle demand, improving forecast accuracy by approximately 10 percentage points and reducing working capital for cars by around 5 percentage points. Proposed and led the development of an aging inventory dashboard to track aged parts for disposition, resulting in an estimated 20% reduction in disposed parts through early interventions before parts became unusable.
Principal Data Scientist, Supply Chain Optimization at Tokopedia (GoTo Group)
August 1, 2024 - August 5, 2025
Led a team of three data scientists, providing guidance and planning in solution design and stakeholder management while actively contributing individually. Deployed estimated time of arrival (ETA) prediction models for order delivery, leading to a substantial reduction in compensation coupons worth millions of rupiah annually while maintaining competitiveness in estimated delivery times. Built time series demand forecasting models using LightGBM and econometric models, improving availability by up to 10% while maintaining current working capital. Conceptualized and applied probabilistic forecasting and simulation for inventory optimization at warehouses, increasing availability by approximately 1 percentage point and reducing working capital by around 9%. Implemented sales orders forecasting models for warehouse manpower planning, improving forecast accuracy and achieving estimated cost savings of thousands of US dollars monthly. Developed a proof of concept for dynamic pricing of ite
Data Scientist, Credit Risk at Grab
June 1, 2022 - August 5, 2025
Built credit scorecards using XGBoost, improving loan approval rates while minimizing credit loss. Developed collections scorecards and performed user segmentation to define collection strategies based on targeted actions. Designed an A/B testing framework to optimize loan collections, increasing revenue by raising dollars collected while reducing collection costs.
Data Scientist, Supply Chain Optimization at Panasonic
January 1, 2021 - August 5, 2025
Led the development of analytics and data science projects including requirement gathering and communication with business stakeholders for proofs-of-concept. Produced technical requirement documents and implementation plans. Built a time series demand forecasting system using auto-ARIMA, improving forecast accuracy to help reduce working capital while maintaining high availability rates.

Education

Micromasters (Supply Chain Management) at Massachusetts Institute of Technology
June 1, 2023 - August 5, 2025
Masters of Science (Analytics) at Georgia Institute of Technology
September 1, 2019 - December 1, 2021
Bachelor of Science (Mathematics and Economics) at Nanyang Technological University
August 1, 2015 - December 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Manufacturing, Retail, Software & Internet, Transportation & Logistics, Financial Services