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🏫 My formal background is in Statistics and Quantitative Economics, with my PhD research on variational inference for Bayesian inference.
🔭 Currently working as a senior data scientist, focusing on improving business outcomes through marketing and retail executions
🌱 I hope to explore more on applying Bayesian statistics, variational inference and advanced deep learning methods (GAN, Autoencoder, RL) to solve "traditional" business problems, please contact me if you are interested in these topics too!
💬 I'm open for conversations on applying machine learning and data science methods in economics (including business) and statistics field
📫 You can reach me at lingjie[at]u.nus.edu
My workflow revolves around SSH-ing from
MacOS to Ubuntu server, using Tmux and Neovim.
You might find my
config
interesting if you are interested in my workflow.
Setting up new repository for data science work is
troublesome, I have a
template
built with cookiecutter to simplify the process.
Juniors who are looking for relevant academic
and data science materials might be interested in
my past
cheatsheet
and
projects
I did when I first started learning data science.
If you are interested in joining the data science field,
please feel free to contact me.