Summary

Entry-level Business/​Data Analyst with a Business Analytics background and interest in data-driven decision-making, customer behavior, and product thinking. Experienced in academic and internship projects involving business data analysis, dashboard reporting, insight generation, and user journey mapping. Seeking to combine analytical thinking, business understanding, and user-centered problem solving to support practical business decisions.

Education
Macquarie University, Bachelor of Commerce - Major Business Analytics
02/2024 – 04/2026 | Sydney, Australia
University of Economics Ho Chi Minh City, Bachelor of Commerce
09/2022 – 11/2023 | Ho Chi Minh City, Vietnam
Skills
Tech Stack

Python • SQL • Excel • DAX • R Studio

Analytics

Sales Analytics • Customer Analytics • RFM Segmentation • KPI Reporting • Insight Generation

Tools

Figma • Miro • GitHub

BI & Visualization

Tableau • Power BI • Dashboard Design • Data Visualization

Product & Business Analysis

Business Analysis • Product Thinking • BPMN • User Journey Mapping • Chatbot Flow • Decision Support • Agile /​ Scrum

Languages

English — Professional Working Proficiency

Professional Experience
Sacombank, Credit Analyst Intern
12/2024 – 02/2025
  • •Assisted in credit appraisal and risk assessment for 20+ customer cases weekly
  • •Supported documentation review, customer verification, and on-site appraisal activities with senior staff
  • •Utilized Excel and CRM systems to maintain records and support workflow accuracy
  • •Developed analytical thinking, communication, and problem-solving skills in a professional banking environment
    • Macquarie University, Unit Representative
    08/2024 – 11/2024
  • •Represented a cohort of 100+ students by collecting and communicating feedback to the unit convenor
  • •Identified recurring issues and provided actionable recommendations to improve the learning experience
  • •Collaborated with students and academic staff to support effective communication and stakeholder engagement
  • •Strengthened communication, problem-solving, and relationship management skills in a team-based environment
    • Project Experience
  • •Built RFM segmentation using Python; created Tableau dashboard with calculated fields across 3.8K+ orders; found 14.88% avg discount, >40% led to negative profit (losses up to -$2.7K), and discounts were concentrated on repeat customers – rewarding existing behavior instead of driving new growth
  • •Diagnosed via Tableau that "Others" segment drove $1.12M revenue while "Champions" were under-prioritized; identified 35–45% late rate with no differentiation for high-value customers
  • •Delivered 4 strategic recommendations (profit/​order metric, discount cap, priority shipping, rebalance discount for retention + acquisition) shifting focus from short-term revenue to system redesign
  • •Designed AI-assisted travel booking experience with 3-category recommendation filters, reducing decision fatigue for users facing 20+ travel options.
  • •Architected BPMN 2.0 workflow (User/​System pools) with input validation, payment retry logic, and human escalation – eliminating dead-end interactions and reducing booking abandonment.
  • •Mapped 5 user pain points into product responses (guided prompts, re-prompt loops, consultant handover) – improving task completion and service continuity.
  • •Built service recovery strategy handling 3 failure cases (unclear input, failed payment, unsupported request) through retry logic, alternative suggestions, and human escalation.