My Portfolio

Vincent Foo

I am passionate about big data and technology which make our lives better.

Using HDB resale price data downloaded from Data.gov.sg (over 800K plus resale transactions) from 1990 to 2020, created an end to end Data Science/ Machine Learning app to predict Resale prices.


Reddit Analysis

By running the Reddit API, I extracted the latest stocks being discussed on the WallStreetBets and other investment subreddit threads. I processed the data so that cashtags returned are the most frequently mentioned stocks and analyzed the overall market sentiment. This helps with momentum trading and stock picking.


Twitter Sentiment Analysis

Twitter is an American microblogging and social networking service on which users post and interact with messages known as "tweets". Registered users can post, like, and retweet tweets. In this project, utilizing Natural Language Processing techniques, I did a sentiment score on the tweets of various topics.


Rainfall info automation

Surge pricing, the practice of hiking up ride-hailing fares in times of high demand, usually kicks in when it rains. This puts consumers at a disadvantage. Insurance companies offer insurance to customers against surge pricing. In this project, to help insurance companies monitor whether claims are valid, or to do dynamic pricing, I automated the information on how heavy the rainfall was at various locations at any given point in time.


Car Recognition as used in Self Driving Cars

Self-driving cars like Tesla employ multiple object detection technologies to classify and localize objects on the road. In my opinion this is a better solution to Lidar which can be expensive. In this project, I create an app which can detect cars on the roads similar to those used by full self driving cars.