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 data analysis, cleaning, visualization, and version control using Python, SQL, Excel, Power BI, Pandas, NumPy, and Git.
💡 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
Python • Pandas • NumPy • Matplotlib • Jupyter Notebook
A data analytics project exploring retail sales data to identify customer purchasing patterns, segment customers, and generate business insights through exploratory data analysis and visualization.
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Customer segmentation
- Sales trend analysis
- Business insights and recommendations
- Data visualization using Python
🔗 Repository: Customer Segmentation & Sales Analysis
- 🏅 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
⭐ Thank you for visiting my GitHub profile!
I'm continuously building practical projects, expanding my analytics portfolio, and learning new tools to solve real-world business problems through data.