QUANG MINH P.

Your managers shouldn't need to learn Power BI or wait for an analyst just to answer a business question. I help ecommerce, restaurant, and retail teams turn messy data into reliable BI — from the warehouse and KPI definitions to dashboards and natural-language analytics. With 8+ years in Data & BI, I can help you with: • Power BI dashboards, semantic models, DAX, and row-level security • Snowflake, BigQuery, PostgreSQL, and advanced SQL • Data modeling and governed KPI/metric definitions • Automated data quality and reporting workflows • dbt, Airflow, Python, and analytics engineering • AI Data Analyst / text-to-SQL solutions for natural-language BI WHAT MAKES MY WORK DIFFERENT I can add an AI Data Analyst on top of your governed analytics. Instead of searching through dashboards, a manager can ask: "How did each region perform vs. last month?" "Which store had the highest net sales?" "Why did revenue decline last week?" The system translates business questions into SQL and returns answers, tables, and charts using your actual data. For suitable projects, this can also be deployed with self-hosted/local AI infrastructure to give you greater control over data privacy and ongoing model costs. EXPERIENCE • Senior BI Developer — built enterprise Power BI solutions including dashboards, semantic models, star-schema data models, DAX optimization, and row-level security. • Senior Data Analyst, Pizza Hut Vietnam — led reporting modernization from SSRS to Power BI, increased internal BI adoption by 82% YoY, worked directly with restaurant managers, and developed customer segmentation, churn, pricing, and forecasting analytics. • Analytics Engineering & AI — built data pipelines and governed analytics workflows using SQL, dbt, Airflow, Python, Snowflake/BigQuery, and WrenAI-based natural-language analytics. CORE STACK Power BI | SQL | Snowflake | BigQuery | PostgreSQL | Python | dbt | Airflow | Superset | WrenAI HOW WE CAN START You don't need to commit to a large implementation. We can start with a focused pilot or BI/Data sprint using your existing data — for example: • Fix or automate an existing BI/reporting problem • Build or improve a Power BI model/dashboard • Reconcile inconsistent data or KPIs • Automate data-quality checks • Prototype an AI Data Analyst on a limited set of tables and metrics If you're dealing with slow reporting, inconsistent KPIs, manual analytics, or want to explore natural-language BI, send me a message with your current data stack and the problem you're trying to solve. I can also show you a working AI Data Analyst demo.