Huang Yuhao

I hold a solid academic foundation in data mining, machine learning, and data analysis, with hands-on experience across multiple projects involving customer segmentation, market research, and anonymous data handling. During my graduate studies, I explored advanced applications of blockchain and AI, focusing on privacy-preserving data processing and decentralized identity systems.

January 2023 - November 2024

Research Assistant, The University of British Columbia, Vancouver, British Columbia

Exploit the combination of SSI and AI agent through Solidity and Hyperleager, realizing a simulated environment which supports free interactions.

January 2024 - August 2024

Data Analyst Internship, Nanjing YILIAN Digital science Company, Nanjing, Jiangsu

Research pharmaceutical data using LSTM and machine learning models to predict potential drug shortages and supply disruptions.

Develop and refine algorithms to interpret desensitized pharmaceutical data, facilitating real-time and predictive insights for supply chain stakeholders.

Design automated solutions for supply chain analysis that improve forecast accuracy and proactively identify supply chain vulnerabilities.

Prepare technical documentation, publish research findings, and present project outcomes at industry conferences and in research journals.

January 2023 - August 2025

Master of Applied Science Electrical Engineering The University of British Columbia (Okanagan), Kelowna

·Conducted the literature review for using blockchain for social choice like voting and election and using blockchain as a credit system to maintain a peer's credit.

·Conducted the research by using blockchain system as the foundation while using the existing transaction operations in the blockchain to carry the authentication, authorization, and accounting services.

·Implemented blockchain-enabled decentralized security management system via Mitacs.

September 2018 - June 2022

Bachelor's degree Computer Science

Northwestern Polytechnical University, Xi'an Shaanxi

·Participated in two national-level College Student Innovation and Entrepreneurship projects; received a National and Provincial Award for outstanding innovation.

·Conducted data anonymization and customer segmentation analysis for a major commercial bank, focusing on target customer profiling and marketing insights.

·Collaborated on passenger vehicle market analysis competition using public and proprietary datasets, applying Python and statistical modeling techniques, receiving top 10 in the final rankings.