Hey, I’m
Max Huang
Driven and analytical computer science student at Duke University, with robust experience in data science and research. Skilled in Java, Python, and AWS, with projects ranging from economic model simulations to NLP in financial analysis. Passionate about artificial intelligence and electric vehicles, actively engaged in extracurricular activities like rowing and photography. Adept at collaborating on diverse projects and eager to apply technical expertise in innovative, impactful ways.
EXPERIENCE
Duke Kunshan University - Research Assistant
May 2023 - Present
Kunshan, China
- - Designed and executed literature review focused on factors influencing ethnic entrepreneurship and assimilation in European ethnic minorities
- - Utilized RepastJ to develop an intricate agent-based model simulating occupational choices and ensure detailed model representation and adaptability
- - Implemented project-specific economic functions to interpret the effects of certain parameters on ethnic minority labor markets
- - Technologies: Java, RepastJ, Python, pandas
KONE - Data Science Intern
May 2023 - July 2023
Kunshan, China
- - Researched and presented various use cases of elevator data on fault diagnosis, such as vibration and motor noise
- - Debugged a fault tracker graphic interface that queried elevator and escalator fault data using AWS Athena
- - Managed and maintained Ubuntu servers, ensuring uptime and optimal performance for data science
- - Technologies: AWS, pandas, NumPy, SciPy, Ubuntu
Dasion - Data Science Intern
June 2021 - August 2021
Clifton, Virginia (Remote)
- - Researched Machine Learning algorithms relating to the medical field with a focus on skin cancer
- - Conducted market research on and connected with biotech companies regarding potential partnerships within the machine learning and medicine space
- - Managed an intern project focused on curriculum design applying machine learning in high school AP courses
- - Technologies: JavaScript, Python, Git
Harvey Mudd College - Research Assistant
June 2021 - August 2021
Claremont, California
- - Assisted Dr. Weiqing Gu on analysis of financial journals using natural language processing (NLP) algorithms
- - Utilized GloVe algorithm to train large datasets of financial data and create word embeddings of various dimensions
- - Configured and formatted equations from financial journals in LaTex for reference of trained data
- - Technologies: Python, LaTeX, word2vec, GloVe, Jupyter Notebook
EDUCATION
Duke University
2021 - 2025
Durham, NC
- B.S. Computer Science Dual Degree
- Relevant Coursework: Data Structures and Algorithms, Computer Architechure, Linear Algebra, Intro to AI, Information and the Internet
Duke Kunshan University
2021 - 2025
Kunshan, China
- B.S. Computer Science Dual Degree
- Relevant Coursework: Discrete Math, Computer Network Architecture, Design and Analysis of Algorithms