Yi Zee | Data portfolio

Yi Zee

Based in Singapore

About

Am a self-taught and passionate learner in data analytics. Recently graduated in August 2024, am actively seeking full-time job opportunities and internships, both locally and internationally. I thrive on challenges and am eager to leverage my engineering and analytical skills to tackle new challenges and embrace opportunities for growth.

Skills

Projects

Netflix Dashboard

Data Visualisation exploration using Tableau, with Netflix Show Data

King County House Sales Visualisation

Data Visualisation exploration using Tableau, with King County House Sales Data

Customer Segmentation with KMeans Clustering

This project is an analysis of online retail transaction data from the Online Retail II Dataset. Using Python, the project applies KMeans clustering to segment customers based on Recency, Frequency, and Monetary (RFM) metrics to provide actionable insights for targeted marketing.

HDB Price Prediction Using Random Forest

This project aims to build a predictive model for resale prices of Housing Development Board (HDB) flats in Singapore using machine learning models including linear regression, random forest which are then tuned to find the best model.

MNIST Neural Network from Scratch

Simple two-layer neural network trained on MNIST digit recogniser dataset to understand underlying math of neural networks better.

Experience

2024-2025

Business Analyst at Synapx London

- Conducted data analysis and reporting to generate actionable business insights - Developed financial dashboards in PowerBI - Created comprehensive project documentation to streamline processes and ensure clarity - Contributed to presentations and proposals to drive business development and secure new opportunities

2024-2024

Process Integration Engineer at Micron Technology Singapore

- High volume data analysis on manufacturing performance - Identifying performance gaps and mechanisms impacting product quality, quantify performance in DPPM cost. - Data Wrangling, dashboard building and maintenance. - Collaborate with cross functional teams to develop forward looking data metrics for performance assessment and product capability projections - Proficient in PowerBI, Tableau, Snowflake, SQL, Python, E3

2023-2023

QA Data Analyst at ASM Singapore

- Undertook Internal Feedback Interface building project using MS Access & VBA, optimization towards lean manufacturing - Data Collection, data wrangling, visualization using PowerBI, proficient in Excel

Education

2020-2024

Bachelor of Engineering (Honours) - Material Science and Engineering

- Material Science and Engineering Club | Logistics Head: Aug 2021- 2022 - NUS Skating Club | Treasurer: Jun 2021 – 2022

2023-2023

Yale University

Exchange Program