Eu Yang (Sam) Chai Email & Phone Number

United Kingdom

Greater Kuala Lumpur

• Built a regression model that accurately predicts rental prices of properties in Kuala Lumpur with a Median Absolute Percentage Error (MdAPE) of 5%.
• Deployed the rental estimation model on Amazon S3 and built APIs using FastAPI to serve model predictions to a web-based rental management application.
• Experimented with a variety of regression models using PyCaret Automated Machine Learning (AutoML) and documented the experiments on MLFlow.
• Engineered multiple features, including the luxury level of residential properties, nearby amenity score, etc., for the rental estimation modeling.
• Developed a recommendation engine that identifies comparable residential properties considering factors such as location, size, nearby amenities, etc.
• Built APIs using FastAPI and Pydantic that served data to a web-based rental management application.

Subang Jaya, Selangor, Malaysia

Student-Tutor assisting tutors in the teaching of the unit FIT1043 - Introduction to Data Science

Greater Kuala Lumpur

• Built and deployed an ethnicity prediction model to production which automated the ethnicity prediction of new users daily.
• Automated the RFM (Recency, Frequency & Monetary) Analysis for customer segmentation and targeted marketing.
• Automated the demographic and transactional analysis for both users and merchants to understand customer behaviour.
• Investigated a group of incentive-hoarding users to identify their characteristics and spending patterns.Reference: Marcus Naik, Head of Data @ Touch 'n GO Digital.

Petaling Jaya, Selangor, Malaysia

• Created a referral propensity model using CatBoost that accurately predicts 75% of customers who are likely to make a referral to drive acquisitions via targeted messaging and personalisation.
• Identified the cause of the decrease in referrals from recent months and suggested appropriate action plans to increase referral count.
• Supported two marketing campaigns by pulling customer profile data and analysing the campaign performances.
• Analysed the spending behaviours of Setel customers who uses CIMB and Maybank credit cards to determine the uplift of the potential collaboration.
• Created presentation slides that communicates business performance to be presented to stakeholders on a weekly basis.Reference: Yong Chang Yi, (Former) Head of AI & Data Analytics @ Setel.

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia

• Tutored IGCSE Year 7, 8 and 9 Mathematics and Science.
• Improved student's grades significantly and sparked interest of students towards the subjects.

Bachelor'S Degree, Computer Science, Cgpa 3.63 Out Of 4

Units taken: Algorithms and Data Structures, Data Modelling for Analysis, Data Analytics, Data Visualisation, Databases, Deep Learning.

Australian Matriculation (Ausmat), Atar 91.2 Out Of 100

Units taken: Biology, Chemistry, Mathematic Method, English as an Additional Language or Dialect