Chen (Ian) Mu, PhD

Experience

• 

  Colaberry

  Jul 2019 - Dec 2021

  Data Scientist
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  Monsanto Company

  Jul 2019 - Dec 2021

  Data Scientist

  - Collected and preprocessed transaction, environmental and economic data from various resources such as company API, SAP- Crop protection sales prediction at different granularity levels using machine learning models and price elasticity estimation- Derived and optimized price elasticity at different levels based on the sales prediction - Created, updated and enhanced R Shiny UI for crop protection sales analytics, elasticity interpretation and visualization for business requirements- Market funding prediction and analysis using machine learning models with bootstrapping, and created R Shiny App Show less

• 

  Circle K

  Jan 2022 - now

  Senior Data Scientist

  - Sales baseline and sales prediction from internal and external data sources, model selection, modeling evaluation and enhancement evaluation, and predictive modeling workflow pipeline in Databricks of machine learning models for localized pricing.- Industrialization and automation of price elasticity and optimization pipeline by Azure Data Factory. Evaluation by various metrics on different workstreams from industrialization and golden run of elasticity modelling.- Enabled faster parallel processing of machine learning/time series models across multiple business units and categories- Advanced time series/state space modeling in sales decomposition with model selection and evaluation with various methods.- Collaboration with Global IT/ Software Engineering team in designing, loading data, exception checking, and fixing issues in localized pricing UI for price executive managers, and test cases development for Industrialization roll-out.- Automation of store-cluster assignment table and enabled business user uploading updated file while sync and update end table without manual intervention using Azure blob storage, Streamlit and Python serverless function on Unity Catalog enabled Databricks environment, with the final product as a user friendly App deployed in Databricks.- Measurement of sales forecast models including baseline and final forecasts with spoilage factors for Fresh Food Fast at different levels (BU, cat/subcat, weekly, site, daypart) based on key driver situations and present to business partners.- Mentored junior data scientists. Show less