Transforming raw data into actionable insights using Python, SQL, Excel, and Power BI.

🎓 BSc Computer Science Graduate passionate about Data Analytics and Business Intelligence.

📊 Skilled in analyzing, cleaning, and visualizing data using Python, SQL, Excel, Power BI, Pandas, and NumPy.

💡 I enjoy solving business problems through data-driven insights and continuously improving my analytical skills by building practical projects.

🎯 Currently seeking Data Analyst opportunities while expanding my portfolio.

• Python
• SQL

• Microsoft Excel
• Power BI
• Pandas
• NumPy

• Data Cleaning
• Data Transformation
• Exploratory Data Analysis (EDA)
• Data Visualization
• Dashboard Development
• KPI Reporting

• Git
• GitHub
• VS Code

Electron.js • JavaScript • Node.js • SQLite

Desktop application that automates academic timetable generation while preventing scheduling conflicts and efficiently managing teacher workloads.

• Automated timetable generation
• Constraint-based scheduling
• Teacher workload management
• PDF & Excel export
• SQLite database integration

🔗 Repository

https://github.com/lena-basheer/advanced-timetable-generator

• 🏅 IBM – Data Analysis with Python
• 🏅 NPTEL – Python for Data Science
• 🏅 HP – Data Science & Analytics Job Simulation
• 🏅 Tata Group – GenAI Data Analytics Job Simulation

• Advanced SQL
• Power BI (DAX & Power Query)
• Statistics for Data Analysis
• Data Storytelling
• Business Analytics

"Without data, you're just another person with an opinion."

— W. Edwards Deming