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Performed comprehensive web research on fitness equipment by gathering accurate information from trusted online sources. Collected details including product names, brands, equipment categories, features, specifications, prices, customer ratings, and intended use. Organized, verified, and formatted the data in Microsoft Excel to create a structured dataset suitable for market research, competitor analysis, product comparison, and business decision-making. Demonstrated attention to detail, web research, data entry, and Excel proficiency.
A practical addition that would make this dataset easier to maintain is a source URL and checked_at date for every row, plus a review flag when prices or specifications conflict across sources. That turns a one-time spreadsheet into an auditable dataset that can be refreshed without rechecking everything manually.
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Designed and developed a modern SaaS web application for healthcare clinic management. The platform streamlines patient records, appointment scheduling with calendar view, doctor management, and billing operations.
Focused on building an intuitive, scalable interface with interactive dashboards, real-time notifications, and seamless user flows to improve daily clinic operations. Implemented features such as patient-doctor communication, activity tracking, and data-driven insights to support better decision-making and efficiency.
So clean!
Sales Performance Dashboard | Power BI
Designed and developed an interactive sales analytics dashboard to help stakeholders monitor revenue, customer growth, product performance, and regional sales trends in one centralized view.
Tools Used:
- Power BI
-Power Query
- DAX
- PowerPoint (wireframing and dashboard planning)
My Contributions:
- Imported and transformed raw sales data using Power Query.
- Built a star schema data model by creating relationships between fact and dimension tables.
Developed DAX measures for:
- Total Sales ($105M)
- Total Quantity Sold (6M units)
- Total Customers (9,191)
- Average Unit Price ($17.6)
- Created Previous Year (PY) metrics and Year-over-Year growth calculations for sales, quantity, and customers.
- Implemented conditional formatting with dynamic color indicators to highlight performance changes.
Dashboard Features:
- Geographic sales analysis using Shape Maps.
- Monthly trends for sales, quantity, pricing, and customer acquisition.
- Customer segment analysis using donut charts.
- Product and country performance rankings using stacked bar charts.
- Interactive filtering for business units and service plans.
Business Impact:
The dashboard provides decision-makers with a single source of truth for tracking sales performance, customer behavior, and regional trends, enabling faster and more informed business decisions.
Data VisualizationMicrosoft Power BIBusiness AnalysisData AnalysisMicrosoft ExcelMicrosoft PowerPoint
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