Data Analyst Power Bi

Vy Dinh

CA ***** ************@*****.*** 408-***-**** linkedin.com/in/VyDinh

Education

San Jose State University, BS in Computer Science Fall 2021 - Fall 2023

• GPA: 3.7/4.0

• Coursework: Python, Data Management Systems (SQL), NoSQL Certifications

IBM Data Analyst – Coursera, Expected Dec 2025

• Developing skills in data cleaning, analysis, visualization, and reporting using Python, SQL, and Excel Microsoft Power BI Data Analyst – Coursera In Progress

• Learning to build interactive dashboards, create data models, and apply DAX functions for business insights Experience

Inventory Specialist, Hayward Quartz Technology Feb 2024 - Present

• Received and verified incoming inventory, inputting accurate data into Epicor ERP to maintain system integrity and ensure accurate reporting.

• Managed and analyzed inventory data using Excel and Access, generating actionable reports.

• Collaborated with cross-functional teams to streamline workflows, improve efficiency, and ensure timely delivery of products.

• Identified and resolved inventory discrepancies, conducting root-cause analysis to prevent recurring errors.

• Oversaw team tasks, coordinated priorities, and guided operations to improve efficiency. IT Support, Nguyen Thu Tax Solutions Feb 2023 – May 2023

• Reviewed and finalized individual and business tax documents using Drake Tax Software.

• Resolved client issues and ensured timely completion of filings. Math Tutor, De Anza College Sep 2019 – May 2021

• Tutored students in math one-on-one and in group settings.

• Enhanced problem-solving and communication skills through teaching and guidance. Projects

Restaurant Database Management System

• Built a restaurant management system using SQL to track customer orders, menu items, bills, and employee shifts

• Implemented data models, normalization, and optimized queries

• Tools Used: SQL

SJSU Faculty Information Scraper GitHub

• Developed Python scraper to extract faculty data into CSV

• Used BeautifulSoup, urllib, and regex to handle multiple page structures and errors

• Tools Used: Python

Skills

Programming Languages: SQL, Python, JavaScript

Tools & Technologies: Power BI, IBM Cognos Analytics, Excel, Access, Epicor ERP, Git, Microsoft SQL Server, MySQL

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