Bella Chen

Product Manager @Wistron | MS in Business Analytics @UIC’24

United States

About

Aspiring product manager with a strong foundation in business analytics and project management in the technology industry. Skilled in leading cross-functional teams and leveraging analytical insights into product roadmaps, I bring a dynamic mix of technical skills, data-driven decision-making, and strategic thinking to inform product strategy and innovation to deliver measurable impact.

Experience

  • Product Manager at Wistron
    Jan 2026 - Present · 7 mos

    • NVIDIA MGX/HGX Rubin NVL8 • NVIDIA MGX Vera C2

  • Project Manager at Advantech
    Jun 2025 - Jan 2026 · 8 mos

  • Data Analyst at RiseKit
    Sep 2024 - Dec 2024 · 4 mos

    • Utilized SQL and Python to clean and integrate 100k+ data from ONET and Risekit’s database, focusing on excluding missing values and redefining numerical ranges to enhance deriving actionable business insights • Increased predictive accuracy by 37% for best-fit resources and service forecasting by building predictive models, utilizing regression analysis and correlation matrix to identify key barriers, and enhancing performance through feature combination and interaction • Utilized NLP techniques to develop a job recommendation engine with particular emphasis on training programs and support services, reducing candidate barriers by 58% • Coordinated cross-functionally with teams, held weekly meetings to review and update progress and gather feedback from clients, identifying and confirming bugs

  • Marketing Analyst at LVMH Perfumes & Cosmetics
    Aug 2021 - Feb 2022 · 7 mos

    • Conducted multiple data analysis for online campaigns (newly launched cosmetic products and department store anniversary sales project) to optimize strategies, increasing 30% overall sales and doubling engagement within 4 months • Enhanced 3.5 million user engagement on Facebook through analysis of user behaviors using Excel pivot table, such as impression rate, engagement rate, and reach rate of Facebook posts to formulate effective user growth strategies • Boosted 121% of website impressions by implementing SQL queries to process large-scale data analysis, such as customer product preference and product keyword search volume to extract insights and meet customer intentions