• Participated in cross-team projects, Oracle integration for Canada/USA subsidiary, defining, extracting, and maintaining scope of data, visualizing data and representing in stories, detecting implementation issues and improving multi-team communications• Improved Customer Service Experience by validating 60,000+ customer shipping address and email address, facilitating customer’s E-Invoice distribution and eliminating mail delivery method• Built up Oracle – before and after metrics to monitor billing performance improvement caused by Oracle employment• Improved business process efficiency by developing control procedure on credit memos/ rebills weekly, reducing disoperation and revenue impact• Trouble-shooting many system issues, like avoiding customer email override Auto-Pay settings to guarantee payment realization, and figuring out legacy system invoice configuration rules• Contributed to SIT/UAT validation• Wrote down business requirement documents, after communication and negotiation between Fintech and operational teams

• Proceeded daily QA for contract data validation• Proceeded sales pipelines and resolve customer service cases through Salesforce• Monitored and visualized invoices configuration data grouping by companies using Tableau and using MS Access on SQL script to extract data from CRM systems• Analyzed billing and credit memo data using Excel analytical skills, e.g. Pivot table, vlookup formula, data validation, remove duplication• Developed rules to systematize processing, auditing and identifying contract data inputs and pain points• Participated in Green Belt Lean Six Sigma project focusing on Credit Memo system-generated automation and contributed into procedure documentation for new member training by using Microsoft Visio.

• Proficient in many technical skills, such as: R, Python, SAS, SQL, Tableau, AWS, Spark, SAS JMP, and Microsoft office, etc• Projects:-CCRB Jurisdiction Complaints Records, Data Incubator Challenge, Jul. 2018-Spark Machine Learning Lab, Big Data course project, GWU, Jun. 2018-Time Series Analysis and Prediction on Electricity Price, Time Series Forecasting for Analytics course project, GWU, May 2018-Carvana Kicked Purchase Prediction, Kaggle Competition, May 2018-Global Terrorism Database Analysis, The Best Visualization Prize, Data2Lab Hackathon, American Statistical Association, Apr. 2018-New York Health Club Analysis, Pricing and Revenue Management course project, GWU, Apr. 2018-Social Network Analysis of Meetup, Social Network Analysis course project, GWU, Mar. 2018-Structured Investment Products Simulation, Decision and Risk Analysis course project, GWU, Feb. 2018-Ascend Consulting Project, GWU Chapter of Ascend, Washington, DC, Feb. 2018-Yelp Data Mining, Programming for Analytics courses project, GWU, Dec. 2017-International Trade Analysis for LAC and Asia Linkages, World Bank’s Dataset, Data Management course project, GWU, Dec. 2017-AWS-based Tweet Mining, 2017 MLB World Series, Data Management course project, GWU, Nov. 2017-Bank Customers’ Credit Risk Analysis, Programming for Analytics courses project, GWU, Oct. 2017

• Assisted, designed, and reviewed assignments and quizzes for 46 graduate students currently enrolled in this class for 7 hours/week• Assessed individual performance of each student by their programming skills on data mining using R, Python, and especially adjusted criteria for vision disability student, e.g. graph analysis, for 4 hours/week.

• Improved the digital consulting platform with AI & Analytics The team is experimenting with several areas of Attain’s digital consulting platform to bring analytics to bear. The following mini-projects will combine to create an overall analytics upgrade to Attain’s digital consulting platform:1. Improved ‘Service Selector’. After we have identified the customer & the customer's requirements, then we source those requirements to Attain capabilities. From the ‘Service Categories’ various services can be selected. The team is working on optimizing the ‘association rules’ which suggest complimentary service sets (to planners)2. Improved ‘Staffing’ visibility. One of the capabilities Attain applies to jobs is skilled workers. These staffs are currently listed by name. The team is using machine learning to cull through Attain resumes by skill. Once completed planners will be able to select staff, for a job, by querying which staff possesses a given skill set3. Designed an Analytics Managed Service. AttainAnswers will be an online platform for the delivery of traditional consulting services & Asset-based consulting. An evolution beyond that would be ‘Analytics Managed Services’. Based on a prior engagement pattern, the team is designing & building a prototype of an Analytics Managed Service to be exposed and offered on the AttainAnswers platform4. Conducted consulting Risks Analysis. A key execution aspect in consulting engagements is risk management. The team took Attain data, detailing the risk profiles of engagements, and analyzed them for a cause. Insights culled from this analysis will inform how the ‘risk features’ of AttainAnswers will be designed to best assist engagement planners• Improved the business operation and development on better sourcing jobs (services and staff), understanding engagement context & risks to avoid, and leading to more intelligent job execution.

•Created measurement methodology to inform data-driven decisions and insights related to Federal Business Opportunity Contract.•Participated in co-operations on unmanned aerial vehicles(UAV) with Chinese corporation, JD.com.•Attended routine weekly round-table virtual meeting, and writing deliverables reports daily.

• Organized financial data, such as data entry, data retrieval, data cross-sectional comparison, based on self-developed products, and generated an Excel spreadsheet with more than 3000 rows daily.• Labeled on character spectrum and distinguished different variables in terms of usage, based on self-developed products; completed 50-person social network analysis in past three years within 14 days.• Researched and made a report monthly on competitor product comparisons, such as WIND and Choice, as related to the reality of data source, size of data, and capacity of completing certain analysis.

• Designed three featured travel itineraries and updated twice after collecting customers review.• Achieved the revenue goal of more than $1700 per month.• Managed two social media accounts and interacted with 300+ followers on the social media account each day.