Kai Xuan's Resume

Kai Xuan

Product Development Intern (Online Platform)

Male

22 y/o

Product Management

Live in Malaysia

Nationality Malaysia

Summary

Data Science graduate currently gaining industry experience at Touch ’n Go (TNGSB), where I support product teams through analytics, reporting, and operational insights. I work with Python, SQL, and Power BI to analyze user behavior, track product performance, and translate data into clear, actionable recommendations. I’m interested in practical machine learning, behavioral analytics, and applying data to improve digital products. My experience has strengthened my approach to structured problem-solving, stakeholder communication, and delivering insights that support product decisions. 🔍 Focus Areas • Data Analytics & Insights • Product Analysis & Development • User Behavior & Performance Tracking • Python, SQL, Power BI I’m open to connecting with others working in data and product, and exploring opportunities where I can contribute through analytics and insight-driven work.

Work experience

Product Development Intern (Online Platform)
Touch 'n Go Sdn Bhd
2025.06-Current
(7 months)
• Collaborated with the Product team to support the development and enhancement of Business Card (NFC) product. • Conducted data analysis on toll and transit datasets to identify user behavior trends, adoption growth, and leakage patterns across over users and monthly transactions. • Coordinated across cross-functional teams (Product, Tech, Operations, and Finance) to ensure smooth execution of product rollouts and process improvements. • Prepared and structured business proposals, requirement summaries, and presentation materials to support management decision-making. • Conducted market and competitor research on digital mobility and cashless payment trends to identify new product opportunities and enhancements. • Provided general preparation and support for event-related activities connected to the Business Card product during the MyARTTE event.

Projects

Classifying Multi-Emotion Using Deep Learning Models
Final Year Project Member
2024.10-2025.06
(9 months)
This project focuses on building a multi-emotion classification system using deep learning techniques. The objective is to analyze text data and identify different emotional states, supporting applications such as user sentiment analysis and behavior understanding.

Educational experience

Tunku Abdul Rahman University Management and Technology
Bachelor Degree of Data Science (Honours)
2023.02-2025.12
(3 years)
Studied Data Science with a focus on data analysis, problem solving, and applying analytical thinking to real-world scenarios. Completed coursework and projects involving data processing, model evaluation, and structured reporting, developing strong analytical and communication skills.