game industry

• Used gamer behavioral data in game to build churn prediction model(AUC≌ 80% and recall≌ 70%) and uploaded the model to MLflow to track the result. Improved the 7 day retention rate by ≌ 20%~25%
• Applied causal inference(propensity score matching) to quantify the effectiveness of in-app campaign
• Applied 180 days LTV prediction and MMM(marketing mix modeling, linear regression) to assist marketing team to optimize marketing strategy
• Used Alternating Least Squares algorithm (ALS)/Logistic Matrix Factorization(LMF) to build the virtual items recommendation system
• Support ad-hoc data analysis project(player in-app behavior analysis)

Data Scientist 

Wan Hai Lines

• Multi-class prediction model development(Text-CNN, ≌100 categories, transfer learning)
• Power BI dashboard development
• Customer name cleaning algorithm development(fuzzy, Jaccard, K-means, NetworkX)

Data Scientist

A data science enthusiast dedicating to apply statistics and machine learning methods to solve business related problems. 

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