I love learning. Be it from hands-on experiences, projects or online courses.
Continuous learning is monumental for fostering skillsets in my area of expertise.
I take a lot of pride and ownership in what I do and always seek for improvements.
I’m passionate about data science, specifically machine learning, data visualization and data-driven marketing.
As an individual, I like to challenge myself by creating new ideas to tackle the issues in our society today.
Graduated
Yrs of Experience
Here are a few of my favorite pieces of projects, from work, school, internships, and freelancing.
Built a Docker API to filter quality listing photos with YOLOv3 algorithm deep learning-based face detection.
The algorithm is back-tested and developed in Python to predict home rental values from unlabelled data by postal codes.
Published US nation-wide data-based visualization studies on New York & Chicago’s rise of rat complaints on major neighborhoods with Mapbox API.
Analyzed the accuracy of using significant variables from a pre-listing survey to predict if lister is a scammer before verification.
Automate the manual task of standardizing all entries in a SQL table through RegEx and other sequential string manipulations.
In this report automation project, I collaborated with my team and my role was to generate customized report graphics based on monthly automated data in Python.
An interactive visualization of where all the famous people live around Brooklyn, built with Mapbox & leaflet API.
An infographic on the benefits of purchasing a Co-op vs a Condo in New York City.
An online portfolio developed for one of my friend, who's a content writer and a budding digital marketer.
DocentAR is a mobile app that is designed for museum-goers to better understand art. Alright, we will admit, that previous sentence was abstract and difficult to understand- much like the experience of most visitors who leave the museum not fully understanding what they saw and learned. Museum-goers may lack sufficient knowledge to fully appreciate the work and let's not forget how artwork labels are often written in convoluted styles. In this version of the product, we brought Vincent Van Gogh to life, for him to explain "The Starry Night" (1989) to the audiences. With an AR enable device, museum-goers would be able to see and hear an avatar of Van Gogh sharing about the painting from both his perspective as well as that of art critics. With DocentAR, we make it easier for the layperson and even young children to understand art, cultivating a world that appreciates creativity, beauty, and freedom of expression. To increase the functionality of the product, we also designed an AR map that enables museum-goers to easily navigate around the building.
One of the common situations which we've almost always encounter is the problem of being unable to recognise people whom we've just met. So what if we had a tool which tells us immediately who the person is? Put a Face to It integrates Microsoft's Cognitive Services APIs to automatically detect faces using the android phone camera and tells you who the person you are pointing the camera is. An extension of this function is the ability to track mutual friends with the identified person through Facebook. This helps an individual to easily identify and be in touch with the person, strike a conversation with the person.
I joined the competition in my 2nd year as an undergrad. I had an idea in mind which matches existing tools and technology to solve an pervasive problem. The inaugural NEC Industrial Innovation Competition is an initiative launched by NEC Laboratories Singapore (NLS). It aims to provide a platform for students to showcase their new ideas or concepts towards smart and safe cities for Singapore and beyond. It also aims to promote an environment of entrepreneurship and support young innovative students to realise their aspirations with NEC. To view my submission which won the Merit Award, click here.
I obtained my B.Sc. in Business Analytics from National University of Singapore (NUS). Also embarked on a full year long internship in New York City while doing an exchange semester at New York University (NYU) in my penultimate year.
I graduated from a course which focuses on the inter-disciplinary aspects of data science including: statistics, probability, programming, linear algebra, optimization, marketing and stochastic modeling.
MG-UY 4404 focused intensively on new ventures case studies while fostering innovative discussions in class. My team pitched a voice-to-text summarizer idea for our project and a final grade of A- was awarded for the course.
I was selected to join NOC in my third university year. The core of the program focuses strongly on developing technology entrepreneurship skills and spirit. I interned at RentHop (NYC), an apartment search web platform startup as a data science intern and worked along with the co-founders.