I'm a Data Analyst focused on turning raw data into clear insights and practical business recommendations.

I enjoy working with data to uncover trends, understand customer behaviour, measure performance, and support better decision-making.

• Data Analysis: Python, Pandas, NumPy
• Databases: SQL, SQL Server Management Studio (SSMS)
• Visualization: Power BI, Matplotlib, Seaborn
• Spreadsheets: Microsoft Excel
• Data Environment: Jupyter Notebook
• Analytics: Data Cleaning, Exploratory Data Analysis, Data Visualization, Customer Segmentation, Business Intelligence

Analysis of customer purchasing behaviour and sales performance using Python and Pandas.

Tools: Python, Pandas, Jupyter Notebook

Healthcare analytics project exploring patient trends, encounters, healthcare costs, and performance indicators.

Tools: SQL, Power BI, DAX, Data Modeling

End-to-end analysis of chip purchasing behaviour, customer segments, product performance, and sales trends.

Tools: Python, Pandas, Jupyter Notebook, Matplotlib, Seaborn

• Clean and transform raw datasets
• Perform exploratory data analysis
• Write SQL queries for business analysis
• Build interactive Power BI dashboards
• Create meaningful data visualizations
• Analyze customer behaviour and segmentation
• Identify trends and business opportunities
• Communicate data-driven recommendations

I'm building my career in Data Analytics and Business Intelligence, with a strong interest in using data to solve real-world business problems.

I'm continuously developing my technical and analytical skills through practical projects and real datasets.

Explore my repositories to see my data analysis projects, dashboards, SQL work, Python notebooks, and visualizations.

• LinkedIn: Connect with me on LinkedIn

⭐ Thanks for visiting my profile!