Project Details

Project Description*Project Walkthrough:
📝Planning: Defined the scope, targeting Finance,Sales,Marketing,Supply Chain
📊 Data Collection: SQL for extraction. Ensured accuracy and data completeness.
🔄 Data Loading: Integrated data into Power BI via MYSQL.
✅ Data Validation: Checked Power BI data against benchmarks.
🛠 Data Transformation:Power Query for data shaping; added columns, merged tables.
🧪 UAT: Collaborated with stakeholders for dashboard accuracy
🔄 Feedback: Implemented end-user suggestions.
⚙️ Optimization: DAX Studio for enhanced performance.
🚀 Deployment: Used Power Bi Desktop Service and Gateways for live connection.

Learnings:
- Power Query & DAX
- Data modeling with snowflake schema
- Creating & formatting visuals.
- Dashboard design principles.
- Using bookmarks.
- Deployment in Power BI service.
- Stakeholder feedback implementation.
- Metrics creation for different departments.

Live Interactive Dashboard

Project Details

The Hospitality Analysis using Power BI" project is a data-driven initiative focused on the hospitality industry, centered on the collection, cleaning, and analysis of diverse datasets from hotel operations and guest feedback. Utilizing Power BI's capabilities, the project aims to provide actionable insights through interactive visualizations, enabling informed decision-making by hotel management. By uncovering trends, optimizing pricing strategies, and enhancing guest experiences, this project strives to give hotels a competitive edge in the ever-evolving hospitality sector, ultimately leading to improved operational efficiency, increased guest satisfaction, and enhanced profitability.

Live Interactive Dashboard

Project Details

Project: Sales & Supply Chain Analytics Using MySQL

Sales Report Highlights:
🎯 Objective: Optimize sales growth and market analysis.
💼 Benefits: Improved customer segmentation & personalized sales reports.

Finance Report Highlights:
💼 Objective: Streamline financial reporting & analysis.
🎉 Achievements: SQL queries, fiscal year function & gross sales reports.

Supply Chain Analytics (FMCG)
Supply Chain Highlights:
🎯 Objective: Enhance supply chain efficiency & inventory management.
💼 Benefits: Real-time data updates & improved decision-making.

⭐ Key Learnings:
1)User-Defined Functions
2)Stored Procedures
3)Event Scheduling
4)Common Table Expressions (CTEs)
5)Database Triggers for Real-Time Updates
6)Optimizing Query Performance
7)Data Integration with Temporary Tables

Project Details

**Project Title: SkyHigh Profits**

**Summary: Elevating Profits in Flight**

In "SkyHigh Profits," we're soaring above aviation challenges. With data as our compass, we aim to:

1. **Fill More Seats**: By aligning flights with demand, we increase occupancy rates, revenue, and cost savings.

2. **Dynamic Pricing**: Python-powered pricing models help us optimize fares and competitiveness.

3. **Happy Passengers**: We invest in smoother booking and better in-flight experiences to foster loyalty.

4. **Sustainability**: We explore eco-friendly solutions to reduce our carbon footprint.

5. **Labor Cost Efficiency**: Our training programs and scheduling tools tackle labor cost challenges.

6. **Revenue Insights**: In-depth analysis guides pricing and route strategies.

7. **Balancing Profit and Quality**: Safety and customer satisfaction remain paramount.

With "SkyHigh Profits," we're charting a course to long-term success and innovation in the aviation industry.

Project Details

The primary goal is to optimize business strategies and address factors that affect market share and revenue performance effectively. By examining different room categories, occupancy rates, and revenue realized per city, the project aims to identify growth opportunities and areas for improvement.

I learned the following things in this project

Data Exploration
Data Transformation
Aggregation & Grouping
Visualization Skills
Business Impact
Real-World Application