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