- Worked with global teams on improving both efficiency and quality of Global Surveillance Solution (TotalConduct) by data science and analytics. Responsible on performing research, developing analytical tools and new features of the platform.- Led several end-to-end projects, including defining requirements, transforming requirements into technical design, implementations, code review, integrating the final product with production cluster.- Designed and implemented big data analytical pipeline using Spark algorithms to calculate multiple metrics of different surveillance rules, helped clients to understand how the surveillance rules performed, and productionized the PySpark application on the cluster.- Led and coached new joiner on project design and technical skills.- Developed many python packages for the team on data extraction and big data calculation algorithms across multiple projects.- Conducted extensive data analysis on the platform output, processed large and complex structured data (TB level).- Led an effort on creating curated dataset, built a framework with Spark, and coached a team on the skills.- PySpark, Pandas, NumPy, json, ast, collections

• Forecasted potential sales by creating process improvement and business solution• Carried out project from start to finish, strategizing the market research to determine competition, gathering data by regular expression to extract key words from web pages, comparing competitors to determine how to get better bid, looking for potential or future projects• Wrangled market data from various third-party websites, cleaned and plotted the data using ggplot2, visualized the insights by designing dashboards in R-Shiny for the purpose of decision-making on future strategies• Built spatial maps of competitors at different scales through ggmap by R. The data was collected from competitors’ websites, converted by address-lat-long converting site, and cleaned by R• Enhanced relationships between company and collaborators using great communication skills, interpreting and understanding both sides clearly, and by telling the story behind the data to influence collaborators to invest

• Applied critical thinking skills and complex problem-solving skills to condense large amounts of raw data from 25 monthly reports (each containing 1,400+ observations and 20+ variables) into one combined table using regular expression and dplyr by R (sorting, filtering, merging) • Strong attention to details by double checking each product’s value and possible missing values or errors in the condensed table to ensure the quality and correctness• Visualized cleaned data by ggplot2 in R to gain a clear picture of the trend on 1,400 different products

• Promoted MEI Program at UMass by organizing and holding on campus info sessions at multiple locations• Designed posters, flyers and table tents for the program promotion• Invited project manager to come to the campus to give speeches• Followed up the potential students timely through many ways and helped them with their concerns about the program

• Presented to potential students and their parents on UMass Amherst advantages, college life, lessons and study experiences• Represented UMass Amherst to give introduction to the college in the college fair

• Communicated and learned Chinese grammar and teaching skills with head tutor every week• Created new ideas to the dean of Chinese Program on how to improve the program• Tutored Chinese Major students’ pronunciation, grammar, writing and speaking

• Organized two successful orientations for high school students and high school graduates• Published five articles, sharing my own college application preparation experience and my life, on WeChat public platform• Prepared the project launch ceremony of the International Pathway Program• Planned the guests (Chinese Education Officials) interview, and the speeches to CERNET executives

• Led group members to solve challenging financial problems on investment, resulting in winning the Standard Chartered Investment Competition

• Negotiated with bank finance department managers and explained product’s benefits, result in selling successfully• Integrated business data in a better way in Excel• Created multiple types of charts to visualize the data to give supervisors a clearer picture of those data