Peiyan Ye
*********@*****.*** +1-813-***-****
Education
Northeastern University, USA 2023 – 2024
Master's in Business Analytics
University of South Florida, USA 2020 – 2023
Bachelor's in Psychology
Minors: Business Analytics and Information Systems Internship
Experience
Project
Smart Outdoor Equipment Design & Market Analysis, Boston August 2024 – January 2025 Team Leader
• Designed a smart hiking shoe combining multi-sensor technology with eco-friendly scent release for wildlife deterrence.
• Conducted market research using data analysis methods to identify consumer preferences.
• Utilized Python and Excel for market data analysis, quantifying user demands for feature prioritization.
• Achieved Top 3 team evaluation during a simulated product assessment and received commendation from mentors.
Holy Cow Ice Cream Sales Analysis & Forecasting Project, Boston January 2024 – May 2024 Team Leader
• Executed data cleaning and preprocessing, ensuring analysis accuracy.
• Created dynamic Tableau visualizations to illustrate sales trends and patterns.
• Analyzed peak sales periods and provided actionable insights for data-driven decisions.
• Identified promotional targets based on customer preferences, optimizing inventory management through trend predictions.
Skills
Proficient: PowerPoint, Excel, Python, PowerBI, Tableau (Data Mining & Visualization), Axure; Competent: R, SQL, SPSS, C#
Languages Fluent: Mandarin, Cantonese Proficient: English Johnson Controls (China) Investment Co., Ltd., Shanghai Summer 2024 Project Analyst Intern, Project Department
• Provided data support to optimize operations across manufacturing, logistics, and sales departments.
• Conducted daily data validation and analysis, resolving anomalies and coordinating interdepartmental workflows.
• Enhanced data collection processes and visual reporting using Excel, increasing data accuracy and operational efficiency.
Mininglamp Technology Guanzhou Summer 2022
Business Analyst Intern, Marketing Department
• Analyzed data related to Nestlé brand awareness and public discussion trends.
• Evaluated factors influencing brand discourse, monitoring feedback, and identifying strategic adjustments.
• Processed and visualized data using Excel and Python, generating actionable daily reports.
• Delivered valuable insights to enhance Nestlé’s market responsiveness, improving team collaboration efficiency.