MOHAMMED SAIHAN
Data Analyst | SQL • Excel • Power BI • Python
📧 developer@mohammedsaihan.com
🌐 github.com/MohammedSaihan
📍 Saudi Arabia — Open to Jeddah & Riyadh
Professional Summary
Results-driven Data Analyst with hands-on experience in data cleaning, transformation, and dashboard development. Skilled in SQL, Excel, Power BI, and Python to convert raw data into clear business insights. Experienced in KPI reporting, revenue analysis, customer behavior analysis, and executive-ready data storytelling across retail, hospitality, and people analytics domains.
Core Skills
Analytics & Reporting
- Data cleaning and transformation
- KPI design and performance tracking
- Business reporting and MIS dashboards
- Revenue, trend, and customer analysis
- Behavioral and segmentation analysis
- Executive-ready data storytelling
Technical Stack
- SQL: joins, aggregations, subqueries
- Excel: formulas, pivots, Power Query
- Power BI: DAX, modeling, dashboard design
- Python: pandas, NumPy, preprocessing
- Visualization and reporting workflows
Project Experience
Retail Sales & Customer Analytics Dashboard
SQL • Power BI • Excel
- Built SQL queries to calculate KPIs including revenue, AOV, and growth metrics.
- Designed interactive Power BI dashboards with drill-down capabilities.
- Analyzed product category contribution and customer segmentation.
- Identified monthly revenue trends and high-performing customer segments.
Impact: Enabled structured KPI monitoring and highlighted revenue growth opportunities.
Hospitality Analytics — Hotel Occupancy & Revenue (Jeddah)
SQL • Power BI • Excel
- Calculated ADR, RevPAR, cancellation rate, and average length of stay.
- Performed monthly booking and revenue trend analysis.
- Built an executive-level dashboard for occupancy and pricing monitoring.
- Analyzed weekend vs weekday demand patterns.
Impact: Exposed peak demand periods and pricing optimization opportunities.
People Analytics Dashboard — Workforce Intelligence
SQL • Power BI DAX • Excel
- Built an end-to-end HR analytics solution to analyze attrition, performance, and compensation trends.
- Created KPI dashboards for headcount, attrition rate, salary trends, and workforce planning metrics.
- Analyzed attrition across departments, salary bands, overtime, satisfaction, and work-life balance.
- Developed a Power BI model with DAX measures for leadership reporting.
Impact: Delivered actionable workforce insights for talent management and retention planning.
Professional Training
- Data Analytics and Data Science — professional online programs
- SQL for Data Analysis
- Advanced Excel and business reporting
- Power BI dashboard development
- Python for data analytics
- Business analytics and KPI strategy
Certifications
- Power BI for Beginners — Simplilearn (Microsoft Partner)
- Data Analytics Training — CodeWithHarry
What I Bring
- Strong analytical thinking with business-oriented execution.
- Project-first proof of skill, not empty claims.
- Ability to turn messy business questions into measurable KPIs.
- Clear communication for technical and non-technical stakeholders.
- Fast adaptation to new tools, workflows, and business needs.