Hamilton Chang, Cspo
About Hamilton Chang, Cspo
Hamilton Chang is an NLP Model Developer at Symphony in the United States, with a background in data science and experience in financial services.
Title
Hamilton Chang is currently an NLP Model Developer at Symphony in the United States. He specializes in developing natural language processing models for enhanced text classification and other applications.
Professional Experience at Amenity Analytics
Hamilton Chang worked at Amenity Analytics as an NLP Model Developer and Data Scientist from 2021 to 2023 in the New York City Metropolitan Area. During his tenure at Amenity Analytics, he led a project integrating sentiment analysis into financial data platforms, which improved client decision-making processes. He also mentored junior data scientists transitioning from academic to industry roles.
Professional Experience at Intelisent and Other Past Roles
In 2020, Hamilton Chang worked as a Marketing Data Analyst at Intelisent in New York, NY for 2 months. Before that, he had a brief stint as a volunteer at LIC Relief for 6 months in the New York City Metropolitan Area. Hamilton has also gained significant experience in the financial sector. He served at UBS Wealth Management as a Wealth Planning Specialist - Associate Director from 2015 to 2018 and as a Wealth Planning Generalist from 2014 to 2015. Earlier, he worked at JPMorgan Chase & Co. as a Private Client Banker and Personal Banker from 2008 to 2014.
Education and Certifications
Hamilton Chang completed an Immersive Data Science Program at Flatiron School in 2019. He also holds a Bachelor of Arts in Politics from New York University, earned between 2000 and 2005. Additionally, he has a certification in Machine Learning from Coursera, which he received in 2020.
Presentations and Panels
Hamilton Chang presented a paper on advanced natural language processing techniques at the 2022 International Conference on Computational Linguistics. He also participated in a panel discussion on the future of NLP at the 2021 AI Summit in New York.
Published Work and Innovations
At Symphony, Hamilton Chang developed a proprietary NLP model that improved text classification accuracy by 15%. This notable achievement highlights his expertise and contributions to the field of natural language processing.
Mentorship and Community Involvement
Hamilton Chang has actively contributed to the tech community by volunteering as a data science mentor for underrepresented groups in tech through a local New York City initiative. His mentorship has provided valuable guidance to aspiring data scientists.