Kuala Lumpur, Malaysia • +(60)11-5421 (8853) • yewlee456@gmail.com
Open To Work & Research Opportunities.
Currently employed as Associate Software Engineer at Sitecore Malaysia. Former Data Engineer at Handshakes by DC Frontier. Posses operational and technical experience on SAAS product of different Multinational Corporations. Graduate of Data Science major of Computer Science Bachelor Degree, with strong academic exposure on Data Engineering, Database Technology, Business Intelligence, Machine Learning and Artificial Intelligence. With proven leadership track record and exposure in research throughout academic years. Do possesses high interest in Data Engineering, Data Analytics, Computer Vision & Human Rights.
Completed on 03 July 2022 , Senate confirmation of completion on December 2022.
Majored in Biology & Chemistry; Pure Mathematic and General Studies
Majored in Science Stream; Mathematics and Additional Mathematics
Involved in writing SQL scripts and setting up database. Massive volument of data is generated using dummy data and inputed into the Oracle SQL Server. Reports is then written to extract insights and provide analytics from the perspective of Operational, Tactical & Strategical. PL/SQL is used to write Triggers and Procedures related to the system.
Involved in writing SQL scripts and setting up data warehouses using snowflake schema. ETL scripts were written to move data into single database. Reports is then written to extract insights and provide analytics from the perspective of Operational, Tactical & Strategical. Developed for the purpose of assignment for Data Warehouse Technology subject.
This project compare the robustness and imperceptibility of several invisible watermarking algorithm for Image Processing subject. Published a conference paper of this project, currently a journal paper has submitted to Institute of Engineers Malaysia (IEM). [GitHub Link]
Developed a Keras-based image processing model to detect fabrics defects. [GitHub Link]
Developed a natural language generation model using T5-Transformer to recognize sign language using Mediapipe for assignment of Natural Language Processing subject. Model will recognize sign language and produce output in sentence in the scenario of ordering food for deaf & mute person. [GitHub Link]
Perform sentiment analysis using tweets from President Trump, where data is acquired through TwitterAPI. [GitHub Link]
For Final Year Project, i developed an machine language model to perform sentiment analysis on data obtained from political figures' Instagram comments. Comments were acquired using Selenium Webdriver. Analysis were performed on the mixed languages of Malaysia.
Developed an IOT system that is catered for elderly use case at home. IOT System is powered by NoSQL-based database and Raspberry Pi as the computing power. This project is developed for the assignment of Internet-of-Things subject.
Developed few websites using bare HTML & CSS as well as using static site generator such as Jekyll. [ CV ], [ Stateless.my Platform ], [ SimpleHitz Jam ], [ Campus Election Website]
Skills | Level | Skills | Level |
---|---|---|---|
Python (Pandas, NumPy, Flask, OpenCV) | 7 | NoSQL (DynamoDB, Firebase Realtime Database, Firestore) | 6 |
Jupyter Notebook | 8 | SQL | 6 |
Tableau | 6 | PL/SQL | 6 |
Selenium WebDriver | 7 | HTML | 7 |
Jekyll | 7 | CSS | 7 |
C# | 5 | NextJS | 5 |
Google Cloud Platform (GCP) | 4 | Linux (Ubuntu) | 7 |
Amazon Web Services (AWS) Cloud | 6 | Git | 7 |
(On the scale of 1-10)
Awarded Dean's List for acomplished 3.9000 GPA on 2021 May semester.
TAR UC E-Data Hackathon 2020 is organized by TAR UC under the sponsorship of Skymind, Hilti, Jabil, Billion Prima, Efinix, Webqlo and Envices. Highly-esteemed academicians and technical experts from sponsoring companies were the judges of this competition. Developed a defect detection deep learning model using computer vision on textile manufacturing lines. Won the best prize in the Industrial Automation category.
Published a conference paper on the image processing field under the guidance of Dr Tan Chi Wee. The paper focused on invisible watermarking for medical image watermarking by exploring and comparing the implementation of hybrid approaches such as DWT, DWT-DCT, DWT-DCT-SVD and deep learning based approach of RivaGAN. Encoding of invisible watermarks were compared using PSNR and NCC and multiple transmission platforms were tested. Received good reviews and comments from reviewers. [LINK]
Published a journal paper on the image processing field under the guidance of Dr Tan Chi Wee. The Journal of Institution of Engineers, Malaysia (IEM Journal) is a peer-reviewed journal publishing twice a year. The Journal aims on the publication of theoretical, innovative research and their applications, acting as a platform to present to the international community important results of work in fields that are concerned with the civil engineering, chemical engineering, electrical and electronic engineering, mechanical engineering, as well as other emerging engineering disciplines. [LINK]
Language | Written | Spoken | Qualification |
---|---|---|---|
English | 9 | 9 | MUET Band 5 |
Mandarin | 7 | 8 | SPM Grade B |
Malay | 8 | 8 | SPM Grade B+ |
(On the scale of 1-10)