I am an aspiring Data Analyst with experience in SQL, Excel, and data visualization.
My focus is on transforming raw data into structured, reliable insights that support business decision-making.
I enjoy working across the full data workflow, from data cleaning and validation to analysis and dashboard creation, with a strong emphasis on clarity, accuracy, and practical insights.
- SQL (data extraction, joins, aggregations, validation checks)
- Excel (data cleaning, formulas, pivot tables, dashboards)
- Data Cleaning & Quality Assurance
- Business Intelligence & Dashboard Design
- Data Analysis & Reporting
A data cleaning and analysis project focused on improving data quality, calculating key business metrics, and building an interactive dashboard in Excel.
- Data cleaning (duplicates, missing values, formatting)
- Revenue and performance calculations
- Operational KPI dashboard
- Data visualization using Excel charts
📁 Folder: excel-data-analysis/
A relational database analysis project using multiple tables to evaluate sales performance, customer behavior, and support operations.
- Data validation and referential integrity checks
- Revenue and order analysis using joins and aggregations
- Support ticket analysis and escalation tracking
- Business logic consistency checks
📁 Folder: sql-data-analysis/
An interactive dashboard built using SQL-processed data to visualize key business KPIs and operational metrics.
- Revenue and order performance tracking
- Customer support analysis
- Payment and operational efficiency insights
- Interactive filters and KPI cards
📁 Folder: bi-dashboards/
- Excel
- SQL
- Data Visualization
- Pivot Tables
- Business Analysis Techniques
- Data Cleaning & Integrity
- Business Performance Analysis
- Operational Efficiency Metrics
- Dashboard Reporting
To develop practical, real-world data analysis projects that demonstrate the ability to:
- Clean and structure raw data
- Extract meaningful insights using SQL
- Present findings through clear and effective dashboards
Email: ele220644@gmail.com