Darshini Palani
Aspiring Data Analyst
About Me
I am dedicated and curious learner, were I enjoy to work with data and creating dashboard. I am skilled in Excel, SQL, Power BI and python and continuously I improve my skill and problem-solving abilities.
My Projects
Sales Performance Analysis
cleaning and standardizing raw sales data using TRIM, IFS, and key Excel functions, then analyzed sales, profit, and regional performance with SUMIF, AVERAGEIF, XLOOKUP, and PivotTables. I designed an interactive dashboard with slicers, KPIs, and charts to highlight trends and top categories. This project strengthened my skills in data cleaning, analysis, and visualization.
View Project →Amazon Fresh Analysis
This Project highlights my skills in building a structured database, applying constraints, and organizing data effectively. Using joins, filters, aggregations, and rankings, I analyzed the dataset to identify top customers, best-selling products, and supplier performance
View Project →Healthcare Analysis
This project uses SQL to study patient behavior, doctor efficiency, appointments, diagnoses, and medication patterns. By applying joins, subqueries, and window functions, it extracts clear insights that support better hospital operations and decision-making.
View Project →Netflix Analysis
This project features a Power BI dashboard for Netflix Analytics, showcasing insights on viewer trends, content ratings, genres, watch time, and country-wise engagement. The dashboard combines interactive visuals with DAX calculations to deliver clear and meaningful analysis.
View Project →Retail Sales Analysis
Retail sales analysis project built with Excel, SQL, Python, and Power BI. The workflow includes cleaning and shaping data in Excel, performing structured analysis in MySQL, running Python-based EDA and customer segmentation, and creating interactive Power BI dashboards. The final output highlights key sales trends, customer patterns, and product performance insights.
View Project →Pizza Store Analysis
This project analyzes pizza store sales data to understand which pizzas sell the most and which customer place orders. The insights help improve sales planning and daily store operations.
View Project →Skills
Languages
- Python
- SQL
Databases
- MySQL
BI Tools
- Power BI
Data Libraries
- Pandas
- NumPy
- MatplotLib
- Seaborn
Analytical Tools
- Excel
- Google Sheets
