Ran Liu
Ran Liu
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ML
Innovative System for Identifying Competitors
Designed machine learning predictive model using PyTorch for competitors identification through Hidden Markov Model, Convolutional Neural Network and Dynamic Time Warping, improving detection accuracy from 42% to 67%.
Developed RESTful APIs for the production system using Java Spring Framework, and implemented a lightweight version algorithms using MySQL, benefiting over 30,000 clients.
Forecasting Errors in Time Series Model
Designed statistical model to predict errors in forecasting system through Random Forest and ARIMA, decreasing the mean absolute percentage error (MAPE) from 0.17 to 0.04, contributing to over $12 million revenue.
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