Nguyen Hong Tien
Data Management
**********@*****.*** — +84-868-***-*** — 8 District, Ho Chi Minh City, Vietnam — tiennguyenwork.wixsite.com
Professional Summary
Final-year Applied Economics student with hands-on experience in sales analytics, inventory monitoring, and operational reporting within a retail environment. Skilled in transforming business data into actionable in- sights to support sales forecasting, inventory planning, and operational decision-making. Proficient in Excel, SQL, Power BI, and Python with strong analytical thinking, data storytelling, and problem-solving abilities. Passionate about leveraging data to improve retail performance and operational efficiency. Education
B.A. Applied Economics, University of Economics Ho Chi Minh City 2022 – 2026
• Final-year Student, GPA: 3.62/4.0
• Coursework: Econometrics, Financial Analysis, Data Analytics, SQL & Database Systems Experience
Sales Data Intern, Tara Joint Stock Company Dec 2025 - March 2026
• Collected, cleaned, and validated sales and inventory data to support daily reporting and business operations.
• Built Power BI dashboards and prepared weekly/monthly reports to monitor sales performance, stock levels, and KPI metrics.
• Analyzed sales and inventory data to identify trends, abnormal stock fluctuations, and slow-moving products.
• Supported product performance tracking and sales trend analysis for internal business reporting.
• Assisted in preparing operational reports and business performance summaries for Sales and Management teams.
• Collaborated with Sales and Operations teams to support data-related tasks and improve reporting efficiency. Skills
• Data Analysis: Skilled in collecting, cleaning, and transforming data using Python (pandas, numpy) and Excel; experience in EDA and data validation.
• SQL - Database Management: Proficient in writing complex queries, Joins, CTEs, Window Functions, Data Extraction & Transformation
• Data Visualization: Experience creating interactive dashboards and analytical reports using Power BI and Python (matplotlib, pandas, seaborn, plotly).
• Excel for Analytics: Advanced in pivot tables, power queries, lookup formulas, and dashboard creation; integrated with SQL and Power BI.
Projects
Pizza Sales Analyst (SQL Server)
• Cleaned and transformed raw transactional data from multiple tables (orders, customers, products).
• Analyzed key metrics: revenue trends (daily, weekly, monthly), top-selling products, and customer retention.
• Optimized SQL queries using CTEs and window functions to improve performance and analytical accuracy. 1