Alex (Tianchu) Liang
Principal Data Scientist, American Tire Distributors

Tianchu Liang is a principal data scientist with American Tire Distributors. He’s a physicist and mathematician turned computer scientist turned machine learning enthusiast. He develops and deploys machine learning solutions to solve real world business problems, such as using LSTM to forecast staffing needs and using XGBoost models to execute real-time online customer behavior classifications. As one of the first two data scientists in company history to join American Tire Distributors, he helped grow the data science team to a size of 12 within a year and is now developing machine learning solutions to help the company in supply chain, sales, and warehousing, as well as ecommerce.

Sessions

4:50pm–5:30pm Thursday, September 12, 2019

Location: 230 A

Deep learning coming to the tire industry: Warehouse staffing with RNN-LSTMs and pricing optimizations with DNNs

Implementing AI

Secondary topics: Deep Learning, Machine Learning, Temporal data and time-series

Alex (Tianchu) Liang (American Tire Distributors)

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Deep learning has been a sweeping revolution in the world of AI and machine learning. But sometimes traditional industries can be left behind. Alex Liang details two solutions where deep learning is used: a warehouse staffing solution where LSTM RNNs are used for staffing level forecasting and a pricing recommendation solution where DNNs were used for data clustering and demand modeling. Read more.