Ewe Li Wei
Data Engineer @ PayNet
Computer Science Graduate Specializing in Data Analytics
from Asia Pacific University of Technology and Innovation (APU / APIIT)
Learn more about me
As a data enthusiast with a passion for visualizations, I am proficient in multiple programming languages and tools. I am committed to continuous learning and development, dedicated to leveraging data for uncovering valuable insights in strategic decision-making. With a diverse range of hobbies, I bring creativity to problem-solving, viewing every bug as an opportunity to enhance my skills and move closer to success.
Personal Background In A Glance
Payments Network Malaysia Sdn Bhd (PayNet)
Shell Business Operation Center Kuala Lumpur, Cyberjaya
MC Crenergy | Datanory | IT Solution Provider, Puchong
Asia Pacific University of Technology and Innovation (APU / APIIT)
APU-DMU Dual Degree Programme - De Montfort University
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Asia Pacific University of Technology and Innovation (APU / APIIT)
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SMK Seri Kembangan
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My Skill Sets
My Recent Projects
A sentiment analysis tool designed to assist Malaysian SMEs in analyzing customer feedbacks and gaining valuable insights. The tools comprises simple data cleaning feature, interactive dashboards, direct review prediction that benefits business owners. Click here to view the project.
Python Streamlit Data Mining Machine Learning
A low-code application developed during the 30-hour AppSheet Hackathon with the theme of "Improving University Life". ApPA is a one-stop solution that APU students and staffs to view the most recent events, check the status of car parks, manage their to-do lists, and even receive instant responses to all campus-related queries.
AppSheet Google Slides Google Sheets
The aim of this project is to develop a console application written in C++ to address the limitations of eXcel Tuition Center's manual filing system. Two different data structures, Array and Doubly Linked List, and two sorting algorithms, Bubble Sort and Insertion Sort. These will improve sorting based on attributes such as overall performance and Tutor ID, providing improved performance and management of tutor records.
Console Application C++ Sorting & Sort Algo
This project aims to analyze a crime dataset from Los Angeles since 2020, and develop an analytical solution using SAS Enterprise Miner. The objectives include identifying criminal hotspots, potential victim profiles, and analyzing common weapons used in crimes. Clustering is implemented to analyse and cluster sectors such as crime categories, weapon usages and victim profiles. Moreover, each cluster is being analyzed with different supervised models to determine the model with the highest accuracy.
SAS Enterprise Miner Data Mining
A vaccine registration system for Malaysian citizens and non-citizens was developed improving the effectiveness of the Covid-19 vaccine registration process. Features including scheduling vaccination appointments, people management, reports generation, managing committee members, and managing vaccines and centres. The system was developed with NetBeans IDE in Java, which includes Object-Oriented concepts and data were stored in text files (.txt)
Java NetBeans IDE Java Swing UI OOP Concept
An attrition dataset is provided for analysis in order to identify potential root causes of employee attrition. Recommendations are also made to assist businesses in increasing employee productivity.
R Programming Data Cleaning Data Visualization
This project aims to revitalize sales and customer satisfaction of Alpine Works Cycles by implementing a business intelligence solution. The objectives encompass understanding historical sales performance, extracting customer purchasing patterns, identifying performance-degrading factors and offering recommendations based on patterns to enhance both sales and customer satisfaction.
Microsoft Power BI Microsoft Visual Studio SSAS - DW