Wei-Jen (Mark) Teng
Business Analyst and PowerBI Developer @ SMS Infocomm
About
I’m a results-driven Data Analyst specializing in automating data pipelines, designing intuitive dashboards, and translating complex datasets into actionable insights. With hands-on experience in Python (Pandas, Matplotlib, NumPy, Requests), SQL, DAX, and Power BI, I help organizations streamline processes and make data-informed decisions. In my current role at Wistron Inc., I built end-to-end analytics solutions that boosted operational efficiency by 80% and significantly improved inventory turnover and customer satisfaction. Through cross-functional collaboration, I’ve led projects to integrate ERP databases, automate reporting, and create self-service analytics tools—ensuring every team has accurate, real-time data at their fingertips. I thrive on bridging technical and business needs, and I’m passionate about driving positive change through data storytelling and strategic insights. Let’s connect if you’re looking for a forward-thinking problem solver who can leverage data to optimize performance, enhance customer satisfaction, and support sustainable growth.
United States
Richardson
Information Technology & Services
Manufacturing Operations Management, Manufacturing Operations, Communication, Computerized System Validation (CSV), Project Management, Lean Six Sigma, Six Sigma Green Belt, Statistics, Manufacturing Process Improvement, Finance, 資料分析, Net Present Value (NPV), Attention to Detail, Analytical Skills, 英文, 策略, 運動, 團隊合作, 團隊領導, 團隊建立
Experience
Business Analyst and PowerBI Developer
SMS Infocomm
Dallas, Texas, United States
• Developed an automated data pipeline and built Power BI dashboard to track and report key business metrics such as Inventory Turnover, Employee Productivity, and equipment idle time, resulting in an 80% increase in productivity. • Developed Power Apps solutions that enabled non-technical business user to easily edit cloud databased, resulting in a 90% reduction in time spent resolving data quality issues. • Constructed automated ETL pipeline using Python, Power Query, DAX from local flat files, saving 10 hours of manual work each week • Conducted sales analysis reports to monitor performance by integrating ERP database and sales data, using VBA; the report was adopted across all operational teams and sales departments • Collaborated closely with business users to gather their requests and updated over 100 models in Power BI reports to monitor the trend of the business logistics. Ensured accuracy of shipment times, reduced delays, maintained sufficient inventory levels, and increased customer satisfaction by 100%.
Business Data Analyst
Information Technology and Management at UT Dallas
• Managed a database of 10,000+ student records, utilizing SQL for data integration and analysis, leading to a 20% improvement in student interventions and a 12% increase in academic performance. • Designed custom reporting tools, facilitating data-driven decision-making that enhanced operational efficiency by 15% and significantly improved student academic outcomes. • Automated routine data processing tasks using Python scripts, leading to a 30% reduction in administrative workload for teachers and staff.
Supply Chain Analyst
Naveen Jindal School of Management, UT Dallas
美國 德克薩斯州 達拉斯
Project Name: Avoiding Supply Chain Management Failure • Analyzed Starbucks, Airbnb, Hershey’s chocolate supply chain problem, and provided suggested solution • Completed 16-page analysis which discussed Lessons learned from BPR Failure • Assessed new Zara supply chain model, and compiled data within MS Excel
2018 Orientation Camp Planner
National Taiwan Normal University
台灣 Taipei City 台北
• Planned two 3-day orientation camps for 200 freshers with 15 executives in the student association • Organized and arranged manpower for the opening performance, indoor and outdoor activities
Education
The University of Texas at Dallas
Computer/Information Technology Administration and Management
First year master student majoring in Information Technology and Management at UT Dallas Relevant Course: -Object Oriented Programming in Python -Business Analytics With SAS -Database Foundations for Business Analytics
National Taiwan Normal University
Physical Education and Sport Science
Yamagata University
Beijing Foreign Studies University
Wei-Jen (Mark) Teng's Contact Information
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