Siyu Chen
Data Analyst @Weee!
Signup · Get unlimited contacts
WORK HISTORY
Data Analyst @Weee!
Fremont, CA, US
Designed an RTB dashboard with weekly views and maintained Weekly Business Review Google Sheets, delivering actionable insights across ethnicity, region, and category dimensions; standardized KPIs (e.g, NPS, penetration, retention) and automated visual generation using Google App Scripts to enhance reporting efficiency.Analyzed Cash Flow gaps between AP and Inventory by linking to historical PO and breaking down discrepancies at the vendor level; partnered with the merchandising team to renegotiate contract terms with key vendors, resulting in a 5% improvement in cash flow, and built a Tableau dashboard to monitor cash impact trends by vendor, primary owner, and division in real time.Implemented a GAAP-compliant Profit and Loss Statement with the finance team; productionized ETL workflows to process over 10M order records weekly and automated pipeline execution using Apache Airflow, reducing backend processing time by 40%.Identified 200K+ taxable SKUs based on category and tax frequency and calculated recorded sales tax with SQL; scraped official tax rates with Python (BeautifulSoup) to reassess tax liabilities and reconciled with the accounting team to ensure compliance.
EDUCATION
Guangdong University of Foreign Studies
Bachelor's degree, Computer science
University of Florida - Warrington College of Business
Master's degree, ISOM
ABOUT SIYU CHEN
As a recent graduate from the Hough Graduate School of Business at the University of Florida, I hold a Master’s degree in Business Analytics, specializing in transforming data into actionable insights. My academic journey, coupled with a strong foundation in Computer Science from my undergraduate studies, equips me with a unique blend of technical expertise and advanced business analytics acumen. During my practicum at City Furniture, I took on the role of Project Leader and Data Scientist, where I developed key performance indicators and predictive models that enhanced sales strategies and operational efficiencies. This hands-on experience honed my skills in Python, SQL, Tableau, and Power BI, enabling me to create impactful data-driven solutions. My international internship with Mars Wrigley as a Supply Chain and China Supply Intern further broadened my expertise in logistics optimization and global supply chain management. I utilized advanced analytics tools to streamline processes, optimize transportation strategies, and deliver actionable recommendations. Additionally, at Johnson & Johnson, I contributed to data analysis for Ethicon’s successful bidding processes, developed surgical volume forecasting models, and improved transcription accuracy for the BW PE iEP content platform. This experience underscored my ability to apply machine learning and natural language processing techniques to solve real-world challenges. I am actively seeking opportunities to apply my skills and experiences to a forward-thinking organization, where I can continue to bridge the gap between technical solutions and business objectives. Let’s connect to explore how we can collaborate and create value together!
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.