C-MORE / DORL, Research Assistant (2021.9 - current)

During my master degree, I worked as a research assistant in C-MORE / DORL laboratory led by professor Chi-Guhn Lee at U of T.

Here is some busy but cherishable moments during my time here in this lab:

My work focuses on application of Reinforcement learning to physical system control, finance and combinatorial optimizations (please see research), and my research in around 2 years in this lab led to these established work.

Canadian Tire Corporation, Capstone Leader (2020.9 - 2021.4)

During my last year of my Bachelor degree, our capstone team worked with the Optimization & Analytics Team at CTC to develop a prediction model that could generate a more precise estimation of the number of outbound cubes per trailer for each transload facility in a weekly basis. The prediction would then be used in downstream decision optimization that is directly related to profits.

We build the whole coding scheme shown in the plot workflow below, and we developed customized LSTM for predicting the target time series:

As a result, our model reduced the mean absolute error of prediction by 39.3% compared to the existing method used by CTC.

Mercedes Benz, Data Analyst Intern (2019.5 - 2019.9)

My summer internship at Benz focused on data analysis tasks at manufacturing factory of Benz, where I worked with professional Method Time Measurement (MTM) Engineer to collect data from assembly line, conducted further MTM data processing, visualization and data analysis with Python and Tableau. More specifically, I had to process, transform and aggregate the raw MTM measurement data and created dataabase connections with SQL, and I also visualized and analyzed the data using Tableau: Note that the pictures are blurred as they contain company private information.

I was impressed by the intricate and interconnected manufacturing processes and operations at this prestigious automotive company, and I enjoyed my time being here:

Unilever Canada, Research Assistant (2022.1 - 2022.5)

During my master degree, our lab was collaborating with Unilever Canada for projects related to distribution center (DC) shipment cases time series prediction. The tasks relate to raw data processing, cleaning, feature engineering, and model development. Our team is aiming to develop advanced ML (Transformer-based) time series prediction methods: The current method reduces prediction error by 26% compared to company’s original method.