I am

Andric Ang

Data Scientist/Analyst Student

Aspiring Data Scientist, Driven and ready for challenges.

MY PROJECTS

Skills Expertisse

AI/ML

Python
Tensorflow/Keras
Machine Learning

Data Analytics

Presenting/Explaining Findings
Data Preprocessing
Data Visualisation

Miscellaneous

Full Stack Web Development
JavaScript
UI/UX
SQL
Scrum
Git

My Education Experience

Saint Andrew's Junior School

Student
Jan 2010 - Dec 2015

Saint Andrew's Secondary School

Student
Jan 2016 - Dec 2019

Singapore Polytechnic

Diploma in Applied Artificial Intelligence and Analytics
Student
Apr 2020 - Apr 2023

Personal Details

A few interesting facts about me. I am an avid gamer. I especially love to play strategic competitive first person shooters such as Rainbow6:Siege where I have lead an eSports organisation before. One of the things I love when playing a game at a high level is analysing your play and statistics to find out where you can improve. As the leader of the team I have learnt how to make quick and logical decisions in a stressful and fast paced setting while also directing my teammates to complete objectives that are needed to achieve the final goal. I also love learning new things by picking up new hobbies or doing things that interest me. A few things I have gotten into recently is the world of custom mechical keyboards and pool.

I pride myself in self-improvement, as a person that loves the spirit of competition, I thrive in a competitve environment as it pushes me to continuously improve upon myself so as to remain competitive with my peers. I also look out for things in life that I would like to improve on, whether if its learning how to build good relationships with people or figuring out how to dress better. I don't mind stepping out of my comfort zone if it meant that I could do more things.

ABOUT ME

My Latest Projects

Take a look at my latest works

DEEP CONVOLUTIONAL ADAPTIVE DISCRIMINATOR AUGMENTATION GANs WITH CIFAR10 (Tensorflow/Keras)

My first experience building and training a Generative Adversarial Network using the CIFAR10 dataset. Where I explored an adaptive discriminator augmentation method used in state of the art GAN models.

"Smart Virtual Counsellor" done for SkillsFuture (Full Stack, Tensorflow, MongoDB)

For my Final Year Project, I worked with Skills Future to create a Smart Virtual Counsellor, a website where users can input their resumes and be recommended jobs that are relevant to them. It also shows them what skills they might be lacking for different jobs and recommends them courses to learn those skills. We did this by using OCR to read resumes, then sending it to an AI job recommender engine that uses the info in the users resume to recommend them jobs.

ADVANCED DATA PREPROCESSING ON LARGE DATASET AND SETTING UP MACHINE LEARNING PIPELINE (Python, scikit-Learn)

The aim of this project was to find out if a taxi driver was considered a safe or dangerous driver based off driving telemetry. We worked with a dataset with 7million+ rows and used advanced data preprocessing methods such as feature generation, feature aggregation, outlier treatment and data balancing using SMOTE and undersampling. We then developed a machine learning pipeline to train a model to predict if a Taxi driver is a safe or dangerous driver based off their telemetry