🔧 Problem: Project and skill tracking were buried in densely maintained Excel files—limiting visibility across teams and departments.
âś… Solution & Outcome: Rebuilt two dynamic Power BI dashboards:
• For tracking project timelines, readiness KPIs, and manpower across projects.
• The 2nd: Employee-Skills distribution across departments and types.
Both dashboards included department-level visuals and dynamic keyword search (projects/skills). 🌟 Earned positive recognition from senior stakeholders—highlighting our team's value.
🛠️ Tools Used:
Power BI, DAX, Power Query, Python
Currently exploring a book design focused on making complex information easier to understand through visual language. Playing with typography, data visualization, and graphic systems to give the subject a more editorial feel.
Developed an interactive Power BI dashboard to analyze Maven Market’s retail performance across sales, products, customers, and stores.
The project involved cleaning and transforming raw data using Power Query, creating calculated measures with DAX, and building interactive visualizations to identify trends, performance patterns, and key business insights.
Key highlights:
Analyzed overall sales and revenue performance
Evaluated product and brand performance
Explored customer purchasing behavior
Compared store and regional performance
Created interactive KPIs, charts, and filters
Built a structured data model for efficient analysis
Presented insights through a clean and user-friendly dashboard
Tools: Power BI • Power Query • DAX • Data Analysis • Data Visualization
Developed an interactive Power BI dashboard to analyze hotel booking performance, revenue trends, cancellations, and key business metrics.
The project involved cleaning and transforming raw booking data using Power Query, creating calculated measures with DAX, and designing an interactive dashboard to make key insights easy to understand.
Key highlights:
Analyzed booking and cancellation trends
Tracked revenue and key performance indicators
Created interactive visuals and filters
Cleaned and transformed raw data using Power Query
Used DAX to create calculated metrics
Presented insights through a clear, user-friendly dashboard
Tools: Power BI • Power Query • DAX • Data Analysis • Data Visualization