Data Analyst | Business Intelligence | Data Quality & Analytics Systems
I turn raw data into accurate, decision-ready insights by combining analytics, data validation, and business context.
- 📊 Analyze structured datasets using SQL & Python
- 📈 Build dashboards (Power BI, Tableau) for performance tracking
- 🧠 Translate data into business insights and recommendations
- 🔍 Design data quality frameworks to ensure data integrity
- Identified 22.2% data quality issues across 500+ records
- Built validation checks (duplicates, mismatches, completeness)
- Enabled structured data cleansing and improved reporting reliability
Tools: Excel, Power Query
- Replaced misleading snapshot analysis with cohort tracking
- Identified time-driven conversion patterns (majority within 30 days)
- Improved accuracy of performance interpretation and decision-making
Tools: SQL, Python, Power BI
👉 View Project
- Analyzed operational and revenue data to identify inefficiencies
- Built KPI dashboards to support performance monitoring
- Enabled data-driven operational decisions
Tools: SQL, Power BI
Analytics: SQL, Python (Pandas), Excel
Visualization: Power BI, Tableau
Specialties: Data Quality, Data Validation, Business Insights, KPI Tracking
Data is only valuable when it is accurate, understood, and actionable.
I focus on:
- Ensuring data reliability
- Identifying root causes, not just trends
- Translating insights into business decisions
⭐ Currently seeking Data Analyst roles focused on analytics, data quality, and business intelligence
I am actively seeking opportunities as a Data Analyst, where I can apply data-driven insights to solve business problems and support decision-making.
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