Phương Đào

Business Analyst with 1 year of hands-on experience in requirements gathering, process modeling, documentation across large-scale, AI-driven systems, complemented by a 4-year background in Digital Marketing. Skilled in translating business needs into clear technical requirements, conducting gap analysis, and applying data-driven methods to optimize product performance. Seeking to drive Digital Transformation initiatives and grow into a Product Manager.

Business Analyst (Remote) at BIOSEL AI (2025-10 – Present)

• GTM Execution & Growth: Coordinated end-to-end Go-To-Market strategies and developed social media plans. Managed Social Ads campaigns, successfully driving traffic and acquiring 18K+ actived users upon launch (June 26, 2026).
• Link public:
• Requirements & Backlog Support: Defined requirements for 2 B2C products, managed the product backlog, authored standard documentation for user-AI interaction flows.
• As-Is/To-Be Analysis & UX Design: Mapped current-state processes and designed To-Be prototypes with a user-centric approach, improving UI/UX and boosting conversion rates.
• QA & AI Hallucination Control: Conducted Web/App QA, designed edge test cases, and partnered with engineering on prompt tuning to minimize AI hallucinations before public release, supported UAT ahead of go-live.

Fresher Business Analyst at GLOBAL SUCCESS (2026-01 – 2026-07)

Project: CMS AI CONTENT (An AI-powered content management system for a PBN of 300+ websites, processing 3,000+ articles/day). Product URL: Account: viewer - viewer2026

• Module Architecture & Analysis: Leveraged SEO expertise to analyze manual operational bottlenecks and proposed a scalable Keyword-Driven routing architecture. Designed the logic for core system modules.
• UI/UX & Localization: Designed system prototypes and formulated logic for automated content distribution, ensuring seamless content localization across multiple languages.
• Workflow Modeling: Used BPMN diagrams to map As-Is/To-Be processes, focused on GA4/GSC synchronization and the Auto-QA moderation hub.
• Documentation Management: Authored and maintained the complete documentation. Conducted impact analysis for logic/data flow changes to keep the development team updated.
• Fact-check & Anti-Hallucination: Designed logic for Auto-QA filters and developed an Entity Check database to prevent AI hallucinations during mass production, guaranteeing high content integrity.

Bachelor of Arts in English Linguistics – HUTECH UNIVERSITY (2018 – 2022)