I'm an aspiring Data Analyst who enjoys working with data and turning it into useful insights. I mainly work with SQL, Excel, and Power BI to explore datasets, analyze patterns, and build dashboards that explain business performance. Currently, Iβm building hands-on projects to strengthen my data analysis and visualization skills.
Analyzed loan portfolio data using SQL and Power BI to understand loan performance, repayment behavior, and risk indicators. Bank Loan Performance Analysis
Explored retail transaction data using Excel, SQL, and Power BI to identify product return patterns and measure how returns impact profitability. Online Retail Return Risk & Profitability Analysis
Used SQL and Excel to analyze telecom customer data and identify factors that contribute to higher churn rates. Telco Customer Churn Analysis
- SQL
- Microsoft Excel
- Power BI
- Power BI Dashboards
- Excel Charts
- Data Analysis
- Data Cleaning
- Business Insights
- π Python for Data Analysis (Pandas, NumPy, Matplotlib, Seaborn )
- π¬ Advanced SQL for Data Analysis
- π Data Visualization Best Practices
- π Building more real-world data analysis projects
πΌ LinkedIn: https://www.linkedin.com/in/pratiksha-rohankar-b334a03a5/
π» GitHub: https://github.com/pratiksha-rohankar