– Collaborated with a team to develop a full stack web application in Agile, converting an old network drive operation with confirmation email to interactive website in internal system, enhancing client workflow efficiency by 80%.– Lead the development of the back-end logic using Model-View-Controller design pattern to setup contracts and API endpoints to parse excel files, validate data, send data to internal APIs and newly constructed database.– Ensured over 90% test coverage rate on both the front-end and back-end by conducting extensive unit tests, integration tests and E2E tests using Vitests, xUnit, and Playwright.– Implemented TestContainers in CI-CD pipelines, significantly improving deployment efficiency by 60% by allowing tests to run in parallel in separate docker containers.– Successfully deployed the website to production after conducting individual and group user testings with over 50 users to improve workflows, UI designs and accommodate special requests.

– Worked with a team to develop a web application, providing simple workflow for clients querying for information.– Improved project scalability by developing 20+ reusable components with React.js and Tailwind CSS, enhancing front-end styling flexibility and reducing code redundancy.– Lead the development of server-side logic with Node.js and Express.js, optimizing data processing speed by 20%.– Conducted extensive unit testing with Mocha and API testing with Postman, achieving a 99% success rate in functionality and reliability tests.– Connect APIs with a DynamoDB database, optimizing data storage and retrieval processes for high-performance.– Utilized Docker to containerize the application, lowering the rate of deployment-related issues by 25%.

– Empowered streamlined prescription writing and patient information recording processes through the development of a highly customized web service, saving an estimated 40 hours per week in manual data entry.– Integrated a REST API with existing systems using Java and Spring Boot, and hosted the service on AWS, leading to a 20% improvement in data processing speed.– Output of intake workflows sends data to legacy scheduling and processing system while remaining HIPPA compliant.– Managed and analyzed MySQL data, involving millions of customer records, to enhance data decision-making.

– Worked with financial manager who gave monthly lectures, resulting in about $10,000 per lecture, focused on creating KPI metadata reports for conversion pipelines to increase revenue.– Authored a Python script to aggregate survey data and show/no-show metrics from events, leading to a 20% reduction in marketing costs while maintaining revenue.– Created performance visualizations for each lecture using scikit-learn, improving customer engagement and lecture attendance by 15%.

It was a spring break internship I took that ended with the outbreak of COVID-19.• Used Python and R to build financial models to assess risk of bonds and stocks. Conclusions were made based on Sharpe Ratio, Maximum Drawdown, Annualized Return, etc.• Utilized Constant Expected Return (CER) Model to estimate asset returns, performed Monte Carlo Simulation, bootstrapping and portfolio analysis• Wrote weekly reports on major financial incidents related to asset management.

• Took part in writing the prospectus for a company preparing for IPO. Addressed a major problem in internal control and helped senior associates to resolve the problem.• Completed Equity Research and Competitor Research for the company, analyzed reasons why some competitor companies failed IPO.• Conducted industry research, analyzed the advantages of IPO and the difficulties, especially focused on strategies to succeed IPO. Presented the result to senior associates in PPT format and was applauded.