Full-Stack Data Analyst | Power BI, SQL Data Pipelines & Predictive Modeling
I build automated data pipelines and interactive dashboards that turn messy data into clear business intelligence.I focus on building robust backend architectures and highly optimized reporting systems. I don't just create visual charts; I engineer the data foundation behind them to ensure accuracy, speed, and automation.
Core Capabilities:
Business Intelligence: Power BI, DAX, Row-Level Security (RLS), Interactive Dashboards.
Data Engineering: SQL, PostgreSQL, Python (Pandas), Supabase.
Data Modeling: Star Schema design, ETL automation.
How I Can Help You:
Clean and centralize data from multiple sources into a structured relational database.
Automate reporting pipelines so your dashboards update without manual work.
Write complex DAX measures for YoY growth, time-intelligence, and custom KPIs
Work Terms
• Availability & Hours: Available for 20-30 hours per week. Standard working hours are Monday to Friday, with flexible adjustments depending on project urgency and different time zones.
• Communication Style: I provide detailed, regular progress updates. I prefer communicating via Guru messages, email, or scheduled virtual meetings for project alignment, scoping, and dashboard demonstrations.For fixed-price data projects, I prefer working with milestone-based payments (e.g., Requirement Analysis & Data Cleaning, Database/SQL Architecture, and Final Power BI Dashboard Delivery). For hourly tasks, accurate time-tracking will be provided via Guru.
• Revisions & Support: I provide up to 2 rounds of major revisions within the initial project scope to ensure the data models and visualizations perfectly match your business requirements. I also offer 1 week of post-delivery support for bug fixes or data refresh issues.
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