Chunliang Lucas Tao
Data Scientist @Walmart
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WORK HISTORY
Data Scientist @Walmart
Los Angeles, CA, US
EDUCATION
New York University
Master's degree, Data Science
University of Rochester
Bachelor's degree, Electrical and Computer Engineering & Economics
Columbia University
Master's degree, Management Science & Engineering
ABOUT CHUNLIANG LUCAS TAO
I always believe business success comes from a mixed cuisine of technical work and product sense, and that is where my passions for data originate. With a data-driven mentality, I have accumulated two years professional experiences of data querying, forcasting model developing and dashboard building. Previously, I worked as a data scientist at Rockstar Games, focusing on a bunch of analytical and modeling projects, such as conducting root cause analysis of low KPIs, building machine learning models to predict subscription behaviors and developing causal inference based framework to measure product success. A/B experiments were adopted to validate features\' efficacy before officially launched.Prior to that, I was working as a data analyst at Citadel and machine learning engineer at iFlytek, with a diverse focus on analytical and modeling work. Data science is not an easy subject, and that\'s why my insatiable curiosity for data sets me apart. It makes me a life-long learner and helps me tackle numerous challenges.Proficiency:2 years of industry experience- Machine learning models such as XGBoost, Random Forest, GLM etc- Modeling skills such as data preprocessing (missing data, outlier detection etc.), feature engineering, model ensemble etc- Model deployment with refitted algorithms and business value evaluation- Excellent teamwork and communication (my favorite part about team culture is the monthly kudo tradition!)7 years of experience in Python programming (Pandas, Numpy, Scikit-learn, PyTorch)4 years of experience in SQL (PostgreSQL, mySQL etc.)1.5 years of experience in Excel (Vlookup, Pivot table etc.)If you share the visions or would love to discuss anything related to the field, let\'s talk!Email: c•••••@nyu.eduMobile: 91••••••95
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