Caleb Kao Email & Phone Number

• Developed performance and optimization tool for AWS Lambda functions, allowing users to test function runtime and cost across different memory configurations to identify fastest/ cheapest memory allocation• Utilized Redux to efficiently manage application state, enhancing data flow and facilitating seamless communication between components, resulting in improved scalability and maintainability of the project• Implemented dynamic and responsive charts and graphs using React Recharts and D3.js to illustrate optimization opportunities, enhancing user experience and data comprehension related to function optimization• Implemented Chakra UI and MUI libraries to enhance the user interface of the application, resulting in a more intuitive and accessible design, thereby improving user experience and usability metrics

• Crafted a dynamic and user-centric Scrum application using React.js and Node.js, featuring real-time updates, responsive design, and seamless collaboration functionalities• Worked closely with UI/UX designer to translate design mockups into functional React components, ensuring pixel-perfect implementation and consistency with the overall design vision• Elevated API data fetching in a React application by integrating RTK Query, centralizing and efficiently managing data fetching and caching• Used Webpack for Hot Module Replacement to bundle JavaScript, HTML, CSS and other static assets into minified files for faster load time and improved performance with users

• Developed a React.js based platform enabling users to create and discover chat rooms, with customized room creation, room tagging, and search functionality• Orchestrated the construction of a robust back-end infrastructure using Express.js, implementing middleware to efficiently handle requests, optimize routing, and integrate with front-end components• Created reusable components using React’s modular design pattern; combined functional components with React hooks to enhance code maintainability and scalability

Chicago, Illinois, United States

• Integrated financial and operational data using Power BI to create visualizations representing historical and forecasted project performance, facilitating informed decision-making at the senior director level• Implemented multiple linear regression model using NumPy to forecast expenditures for portfolio of projects worth $400m to within 1% margin of error, allowing efficient allocation of company resources • Automated manual data refresh / web scraping processes in Excel using VBA scripts, saving over 15 work hours per week

New York City

• Automated data entry and web scraping process in VBA, saving over 10 work hours per week • Designed, built, and maintained natural gas supply forecast model — a primary component of company’s energy market research offering — in R using multiple linear regression

Master'S Degree, Public Policy Analysis

Data Science and Energy Policy tracks Graduated with Honors

Bachelor Of Science, Finance, History (Dual Degree)

Magma Cum Laude