Retail Sales & Customer Analytics Dashboard | Power BI, SQL
Built an interactive Power BI dashboard to analyze retail sales, customer behavior, and performance trends
Architecture: Python data cleaning → SQL data processing → Power BI dashboard generation → interactive visualizations
- Used SQL (joins, CTEs, window functions) to extract, aggregate, and analyze transactional data
- Created KPI metrics including total revenue, average order value (AOV), and month-on-month growth
- Delivered actionable insights to support product performance evaluation and data-driven decisions
- Applied customer segmentation and demographic analysis to identify high-value customer groups
Python, Flask, Transformers, Scikit-learn, SerpAPI
🏨 Hospitality Analytics – Hotel Occupancy & Revenue (Jeddah) | Power BI, SQL
A business-focused analytics case study analyzing hotel occupancy, revenue, and seasonal demand trends in Jeddah, Saudi Arabia using SQL and Power BI.
Architecture: Python data cleaning → SQL data processing → Power BI dashboard generation → interactive visualizations
- Analyze hotel booking and revenue trends over time
- Identify seasonal demand patterns and peak travel periods
- Measure hospitality KPIs such as ADR and RevPAR
- Compare revenue performance across hotel and room categories
- Support data-driven pricing and operational decisions
Python, Flask, Transformers, Scikit-learn, SerpAPI
Feka 2.0 – Fake News Detection
ML-powered web app that detects fake news using NLP and trusted-source verification.
Architecture: Python data cleaning → SQL data processing → Power BI dashboard generation → interactive visualizations
Tech: Python, Flask, Transformers, Scikit-learn
- Extracted Article fields with ~70% accuracy
- Used a fine-tuned BERT model to classify news as real or fake
- Implemented a trusted-source verification step using SerpAPI
- Designed a user-friendly interface to display results and explanations
People Analytics Dashboard — Workforce Intelligence (HR Analytics)
Designed an end-to-end People Analytics solution to analyze workforce trends, attrition drivers, and compensation insights. Built HR KPI dashboards tracking headcount, attrition rate, salary trends, performance, and workforce planning metrics. Performed attrition analysis across departments, salary bands, overtime, job satisfaction, and work-life balance. Developed Power BI data model with DAX measures for executive reporting and automated HR insights. Delivered leadership-ready dashboards enabling data-driven HR decision-making.
Architecture: User Input → Text vectorization → Model Prediction Phase → Calculation → Result to UI → structured output
Tech: Python, Flask, Transformers, Scikit-learn
- Designed an end-to-end People Analytics solution to analyze workforce trends, attrition drivers, and compensation insights.
- Built HR KPI dashboards tracking headcount, attrition rate, salary trends, performance, and workforce planning metrics.
- Performed attrition analysis across departments, salary bands, overtime, job satisfaction, and work-life balance.
- Developed Power BI data model with DAX measures for executive reporting and automated HR insights.
- Delivered leadership-ready dashboards enabling data-driven HR decision-making.