Machine Learning Engineer

• Oct 2021 - Present

Data Scientist/Machine Learning Engineer

• May 2020 - Oct 2021

- Built marketing mix product both backend and frontend for business team to report ROI to clients. - Build general machine learning platform both backend and frontend for business team. - Built sentimental analysis product backend for business team to monitor our clients’ products. - Built chatbot backend integrate with marketing mix and general machine learning platform. - Built marketing mix product both backend and frontend for business team to report ROI to clients. - Build general machine learning platform both backend and frontend for business team. - Built sentimental analysis product backend for business team to monitor our clients’ products. - Built chatbot backend integrate with marketing mix and general machine learning platform.

Data Scientist Intern

• May 2019 - Aug 2019

 Daily responsibility: data integrity by excel or python, data extract by SQL, data visualization repot by tableau.  Project: Based on customer search behaviors on company website, analyze which feature mostly influence customer decision that they will finally contact agent.  Result: based on analysis results to let engineer change web design style. Finally, improved 10% monthly company website searching volume and also improved contact agents volume.  Method: Extracted data and merge data in SQL. Basically, clean and EDA. Building Logistic Regression, Random Forest and XGB model to analysis feature importance. Show less

Data Analytics Intern

• Oct 2018 - Dec 2018

 Built a regression model to predict the enrollment trend of undergraduate students in USA. First, selected predictor among number of male and female, students status (full or part-time), citizenship (international or not), number of higher GPA students (above 3.5). Second, based on stepwise process to add predictor into model, using t-test for stop rule. Third, calculated 2018-2020 predicted number and plot the linear regression model properly.  Web scraping six different arears real estate information like price, number of bedroom, broker, etc using R. Analyzed results based on average of price/square, price/bedroom, and price/bathroom and plot three properly histograms based on ggplot package in R. Show less

Summer Intern at Quantitative Research Department

• Jun 2017 - Sep 2017

• Strategy principle: Identify abnormal trading volume from the relationship between tick interval (shortest stocks trading time) and the sudden increasing stocks price. • Extracted stocks trading data in 2017 with extreme daily return (above 3%) from SSE 50 Index (Shanghai Stock Exchange) and conducted data cleaning/preprocessing in Python and Wind software. • Analyzed the tick interval return and trading volume pattern of each stock to identify the abnormal trading volume using Python. • Investigated the abnormal tick interval each stock large trading volume and SSE Index based on data of return prices, bid/ask prices, etc in Python. • Designed the high-frequency statistical arbitraging strategy based on same tick interval difference between abnormal large trading volume stocks return and SSE Index return to determine the buy/sell decisions. • Created report to visualize the strategy in Python. • Implemented the new trading strategy in production, which generated annual return of 30%. • Further improved the trading strategy by expanding the selected stock ranges and trading periods. Show less

Teaching Assistant

• Sep 2016 - Jan 2017

• Answered students’ questions every class including finite math, basic linear algebra matrix and calculus, marked papers for quizzes and exams • Held department office hours (4 hours/week), organized and supported group discussions, prepared solutions for assignments and recitation materials • Answered students’ questions every class including finite math, basic linear algebra matrix and calculus, marked papers for quizzes and exams • Held department office hours (4 hours/week), organized and supported group discussions, prepared solutions for assignments and recitation materials

Summer Intern at Industrial Research Department

• Jul 2016 - Sep 2016

• Conducted new energy industry research by collecting and analyzing information such as reform plans about coal supply, energy market data, national policies from different states, etc. • Designed tables to store the industry research data using Access database and applied data cleaning. • Created quarterly new energy industry report using Excel VBA and checked effectiveness of data. • Conducted new energy industry research by collecting and analyzing information such as reform plans about coal supply, energy market data, national policies from different states, etc. • Designed tables to store the industry research data using Access database and applied data cleaning. • Created quarterly new energy industry report using Excel VBA and checked effectiveness of data.