I am an inquisitive yet optimistic individual who is currently doing my fifth semester of Computer Science (Data Science) course in the number one and most prestigious university in Malaysia, University of Malaya (UM). I transitioned into data science from a pure science background in secondary school and matriculation. I joined tech-related clubs in UM during my second year to give out the best of mine to the juniors so that they will not feel lost as I have experienced especially during the first 2 semesters in UM. I am constantly seeking for exciting and adventurous challenges while at the same time consistently exploring new knowledge not limited to technology for self-improving.
Standby to assist users (lecturers of Faculty of Medicine, University of Malaya) on questions or technical issues about Virtual Patient, a website built to simulate clinical assessments of the students in Faculty of Medicine.
Assisted in researching and developing visualization dashboard of vaccination centers information using Apache Superset.
Tested and identified possible bugs not identified by the developers by figuring out edge cases and helped in managing as well as sorting out failed test cases for re-implementation by the developers using Trello.
Contributed in verifying the account records as well as partnered with full time workers in the production of biscuits.
Assisted the teacher in creating daily lesson plans as well as collected and marked daily assignments of the students.
Design a professional HTML email to attract the attention of public university undergraduates to join our national level hackathon.
Held secretariat positions for programs organized by PEKOM and also events in the faculty as well as oversaw all student events under PEKOM.
Planned and executed programs such as A Night with Residential College Management, Alumni Sharing Session, Students' Activity Carnival and Closing Ceremony for college residents along their orientation weeks
Conducted 4 sessions of Kotlin Study Jam to introduce basic mobile app development using Kotlin programming to the student community.
Produced publicity videos to raise the public awareness on people with rare diseases.
Approached nearly 500 volunteers in total with 3 teammates to know their strong points and wills before distributing them into suitable departments
Designed promotional posters and contacted teacher advisors to broadcast information about the camp
Secured sponsorship in the form of cash from Midea and in the form of benefit-in-kind from OYO for our outdoor event which aimed to challenge the physical and mental strength of the participants and promote communication and teamwork among the participants.
Contacted nearly 10 organizations and reacted spontaneously to any change in performance sequence on the event day.
Detect and draw a bounding box together with the confidence probability on whether a person is wearing a mask or not in real time
Scrape Indeed job data based on job position and output in a CSV file for easier filtering.
Achieve nearly 1.00 in precision, recall and F1 score in classifying real or fake news using Sequential API in Keras including the Embedding and LSTM Layer.
Build a random forest model for predicting penguins species and save into a pickle file. Then, read in the pickle file and predict penguins species based on user input (slider or file uploading).
Compared the performance of two machine learning models (logistic regression and multinomial naive bayes) and achieved roughly 86% accuracy and F1 score in predicting new movie review sentiments.
Created a shiny web app in R to predict life expectancy of people based on their personal (e.g. BMI) and country factors (e.g. Adult Mortality).
September 2019 - Expected February 2023
2018 - 2019
2013 - 2017
Semester I - PRESENT
February 2020
Jamuary 2019
July 2018