About.
Hey! My name is Lin Tao, and I'm a final-year Information Systems undergraduate at Singapore Management University, specializing in Business Analytics and Digitalization & Cloud Solutions.
My experience spans data analysis and AI engineering, having interned at Synapxe and contributed to projects leveraging Python, Power BI, and SQL to create actionable insights and streamline workflows.
I've also worked on impactful projects like developing a speech emotion recognition model and an ASL translation system, reflecting my passion for innovation and inclusivity. Additionally, I enjoy mentoring students in STEM education through BYTE.sg
I'm actively looking for new positions where I can bring my technical skills, problem-solving mindset, and collaborative spirit to new challenges. If you think you've got an opening that is suitable for me, let's connect 🔗
Programming Languages
Web Development
Data Analytics, AI & Machine Learning
Automation
Team Collaboration Tools
Projects.
A deep learning-driven speech emotion recognition system designed to detect emotions (e.g., anger, sadness, calm) for improved customer service interactions and prioritization. Learn more >
An AI-driven solution that leverages SVM, CNN, RNN, YOLO, and Vision Transformer models to accurately recognize and translate American Sign Language (ASL) into text. Learn more >
A comprehensive one-stop travel web application built with Vue.js and Firebase, designed to enhance tourists' experience in Singapore with site recommendations, navigation assistance, and a personalized travel planner. Learn more >
Experience.
Led weekly coaching sessions for underprivileged primary school students, focusing on science, technology, and design, adapting Google's CS First curriculum to teach coding through engaging activities like Chatbot Creation, Game Design, and Digital Art.
Teaching Assistant roles span multiple semesters across different courses: IS216 (Web Application Development ll), IS213 (Enterprise Solution Development), and IS212 (Software Project Management).
Applied advanced analytics and automation techniques to support critical data engineering tasks. Created data-driven insights for business stakeholders and improved existing workflows by leveraging Python scripts, Microsoft solutions, and other automation tools.
Built monthly Power BI dashboards to inform business strategy around merchant profiling and demand-supply trends. Streamlined processes to track marketing service revenue by integrating Excel and Python within Databricks. Conducted SQL and Python queries in Databricks to optimize GrabFood and GrabMart marketing campaigns.
Developed compelling visualizations using Tableau to translate complex data into actionable insights, enhancing understanding and facilitating data-driven decision-making. Streamlined data cleaning processes using custom scripts and APIs, significantly reducing data inconsistencies and processing time while improving the quality of insights derived from the data.