Walmart retail goods unit sales forecasting
基于XGBoost的沃尔玛销售数据预测
Conduct EDA and a predictive model using XGBoost
进行探索性数据分析和XGBoost建模
Who I am
Currently,I'm a MA candidate at the Columbia University in the City of New York, planning to graduate in Dec. 2020. I received my BBA degree in E-commerce from Guangdong University of Technology (GDUT) in 2018.
Projects I’ve worked on have focused on data-driven solutions to increase efficiency and accuracy in business problems. I’ve built machine learning and time series models solving problems about Demand Forecasting, Marketing Analytics and Operations Analytics using numerous tools such as Python, R and SQL. During my undergraduate studies, I studied E-commerce and focused on marketing analytics and product analytics. Then, I started my Master’s degree in Statistics. With the help of my background in E-commerce, I am able to combine the business knowledge with my data science skills, to gather more real-life insights from data.
我现在就读于哥伦比亚大学统计系硕士，预计2020年12月完成硕士全部课程。在来哥大之前，我于2018年在广东工业大学完成了我的电子商务管理学学士学位。
我过去的项目关注使用数据驱动的方法去解决商业问题从而提升运营效率。我使用过机器学习和时间序列分析的方法来解决需求预测，市场分析和运营分析的问题。在我本科的时候，我的学习主要在市场行业分析以及产品分析中。随着研究生阶段对统计知识的更多的了解，我能够把数据分析的技能更好地运用在实际商业问题中并产出有价值的洞见。
Skills
Data Science, Machine Learning, AI
Python, R, SQL
Data Visualization, Tableau
Strategic Planning
Work Portfolio
Walmart retail goods unit sales forecasting
百威亚太啤酒外卖平台发展策略研究
通过用户调研和对门店数据进行分析，提出门店指标体系及相关商业策略
ARIMA – Garch Trading Strategy On Different Economic Indicators
基于Arima-Garch模型的不同指标交易策略
Conduct ARIMA-Garch model on S&P500,Nasdaq,Oil and Bit coin
对S&P500，纳斯达克，原油指数和比特币进行ARIMA-Garch建模
Why do these democrats want to vote for Trump?
研究为什么部分民主党支持者想要投票给共和党总统川普
Shinyapp: Quantifying Social Distancing
Exploring ways in which society can measure social distancing by using control variables: Park Gatherings, collected by NYC Department of Parks & Recreation, and Transportation data, collected by Apple.
Interests
Marketing Analytics
I am interested in managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment. Understanding marketing analytics allows marketers to be more efficient at their jobs and minimize costs.
Product Analytics
I am passionate of the way that Product analytics allows to fully understand how users engage with what companies build. It is especially useful for technology products where teams can track users’ digital footprints to see what leads them to engage, return, or churn.
Data Engineering
As a Data Scientist, my responsibilities include cleaning data, making visualizations and deploying predictive models. In addition to these, I am interested in data engineering part as well, which is the aspect of data science that focuses on big data, practical applications of data collection, storage and analysis.
Contact me
Feel free to connect with me on Email or wechat. If you ever want to bounce ideas off me, please reach me at rl2886@columbia.edu.