Obtained bachelor's degree in Computer Science and did research about natural hazard modeling and prediction in Civil Engineering Department during my master and PhD studies.
Professionally, I'm passionate about two main things: coding and leveraging data to solve real world problems.
Below you can find my recent projects. Feel free to connect if any problem.
A NLP sentiment analysis project that can convert a piece of text to proper sentimental emoji. Implemented word representation with the pre-trained Glove word embeddings, trained the dataset using LSTM unit in Keras, built the web app using Flask and deployed it on AWS.
End-to-end machine learning project starting from scraping data and ending with a deployed web app allowing real-time Toronto house price prediction. Model training and deployment implemented in Amazon Web Services.
A web-based map application enabling fast lookup of the natural hazards in Canada based on the outcome of my extreme natural hazards research.
This project is to analyze relevant customer data and predict behavior to retain customers. Focus is on feature engineering and tree-based classification algorithm.
Tring to build a model that predicts the total ride duration of taxi trips in New York City. The primary dataset is one released by the NYC Taxi and Limousine Commission, which includes pickup time, geo-coordinates, and several other variables. Data ETL and ensemble algorithm are implemented.
