Jiahao (Issac) Ye

As a data-driven professional with a robust background in data analytics and business management, I am passionate about leveraging technology to drive strategic decisions and optimize business outcomes. With an M.S. in Management of Technology from New York University and a B.A. in Business Administration with a Minor in Applied Computing from the University of Washington, I have cultivated a deep understanding of both technical and business perspectives. My experience spans various industries, including real estate, construction, and tech, where I have honed my skills in data analysis, database management, and business intelligence. During my tenure as a Data Analyst Intern at Compass, I worked closely with the marketing team to enhance audience targeting and improve lead generation through comprehensive quantitative and qualitative analysis. Additionally, I streamlined CRM processes and supported sales efforts by enriching contact data through web scraping and third-party tools. At Jialin Construction Group, I designed and implemented efficient data integration processes, forecasted material price trends, and developed insightful dashboards using Tableau to support decision-making across finance, supply, and planning teams. My research work on electric vehicle price prediction, accepted at the 2022 International Conference on Economics, Mathematical Finance, and Risk Management, showcases my ability to apply advanced statistical methods and machine learning models to real-world problems. I am familiar with SQL, Python and various machine learning models, and I have a strong command of tools like Tableau and Excel. My academic projects, such as the Airbnb Booking Funnel Analysis and A/B Testing for Instacart, demonstrate my capability to conduct exploratory data analysis and hypothesis testing to drive actionable insights. I am excited to connect with like-minded professionals and explore opportunities where I can contribute my expertise in data analytics and business strategy to achieve impactful results.