Pengcheng (PC) Zhang

With a solid academic background, Pengcheng is a dynamic financial analyst with an unwavering passion for unearthing insights in data. Fueled by curiosity and commitment, he enjoys diving deep into complex challenges, delivering data-driven solutions and bringing value to the table. He is particularly intrested in Data Analytics, Risk Management and Portfolio Optimization.

Experience

Application and Practice of Data Science
Mentored by Shlomo Ta’Asan, Fall 2022

• Applied machine learning algorithms, principal component analysis, & regularization to build a movie recommendation system.
• Used graphical tools to obtain insight into hidden structures such as clusters, probabilities on economic issues.
• Approach large datasets from different viewpoints, including graphical interpretation, probabilistic & statistical approaches, & modern machine learning tools.

Fintelics (Remote)
Data Analyst Intern, Jun. 2022 - Aug. 2022

• Created graphs visualizing all transaction data on rocketvideo.io by interlinking all relevant datasheets via PostgreSQL.
• Cleaned & processed raw data of users information, transactions, & finance income targeting user portrait.
• Used Python for data gathering, data cleaning, data analysis, & data visualization.

Huawei Xi ‘an Research Institute, Xi’an, China
Data Analytics Intern, Core Cloud Department, May 2021 - Aug. 2021

• Assisted with the Sales Data Screen Project.
• Used SQL to import & clean raw data scraped from data warehouse supporting further calculations & analysis.
• Created dataset with SQL, established dynamic-link tables, calculated data, & created statistical plots.
• Using R, built the linear regression model.

Skills

• Technical: Python
• R
• SQL
• AXIS
• Microsoft 365

Professional Certificates & Awards

• Dean’s List Scholar: 2020; 2022