IDXExchange

Presenting IDX Exchange's 2024 intern class from UC Berkeley, Columbia University, USC, University of Chicago, University of Pennsylvania, University of Washington, University of Washington in St. Louis, Northwestern University, Brown University, Stanford University, University of Michigan, Arizona State University, and more.

DS8 (Data Science Team #8) Presentation https://lnkd.in/gznuS343

Meet Bowie Chuang! Bowie is a third-year Data Science and Economics double major student at UCSB. He has been working as a Data Analyst at UCSB PaCE for over a year and a half and has experience with data cleansing, modeling, and visualization. He enjoys finding insights from data and using data to solve real-world problems. Bowie decided to join IDX Exchange as a Data Science Intern because he wants to apply his Data Science skills to another domain of knowledge related to the world's business side. By joining IDX Exchange, he hopes to learn more about building Machine Learning Models and work on predicting California's Property Final Sales Price.

Meet Irene Kim! Irene is a sophomore majoring in Marketing at Indiana University Bloomington. She is passionate about marketing and content creation, bringing creativity into different aspects of her life. She strives to use her creative abilities to propose new ways to advertise the projects she is a part of. At IDX Exchange, she serves as a Marketing and Sales intern, where she will get hands-on experience working with the sales and marketing team to enhance brand awareness.

Meet Hannah Nguyen! Hannah is a 2nd-year Data Science and Applied Math double major attending UCSB. Her interests include software development and AI/Machine learning, and she would like to expand her knowledge and experience in both fields to real-world applications. She joined IDX Exchange as a Data Scientist intern because she would like to learn more about working with data through machine learning by working on a related project. The project she will be working on is building a model to predict California Property Final Price.

Meet Charlene Hsu! Charlene is a junior studying Cognitive Science Machine Learning with a Data Science minor at UCSD. She is driven to explore and pursue how data science can be applied to machine learning, exploring how data is used to make predictions and find patterns. She is a part of the Data Science team and is seeking hands-on experience through this internship.

Meet Fan Zhang! Fan is a senior pursuing degrees in Economics and Data Science at the University of Southern California. With a robust background in statistics and data science, she is driven by the power of data to solve complex business problems. Fan joined IDX Exchange as a Data Scientist, excited by the opportunity to contribute to pioneering predictive models for the California real estate market. She looks forward to applying her analytical skills to enhance the accuracy and effectiveness of property price predictions at IDX Exchange.

Meet Tori Nguyen! Tori is pursuing a bachelor's in Data Science at UCSD. She is passionate about interpreting big data using algorithms and machine learning models to find patterns useful to the company's mission and further distributing these insights across teams and clients. She will be a part of the Data Science team at IDX Exchange to process and explore data.

Meet Yuxin Liu! Yuxin is a junior majoring in Econometrics and Quantitative Economics at UIUC. She decided to join IDX Exchange as a data scientist because she wants to apply her knowledge to real-world projects and gain more experience in data analysis. She will use predictive models and machine learning to analyze house prices in California and make predictions.

Meet Victoria Ye! Victoria is a first-year Master's student in Data Science at the University of Chicago with a bachelor's degree in Statistics and Computer Science from the University of Illinois at Urbana-Champaign. She is passionate about working with real-world data, leveraging machine learning and statistical models to uncover insights. She is very excited about the opportunity to grow as a data scientist with IDX Exchange and collaborate on predicting California property prices with the highest accuracy.