- Passionate about data analysis and visualization
- Skilled in Excel, SQL, and dashboard creation
- Currently learning Data Analytics & Digital Marketing
- Goal: To build impactful data-driven solutions
- Microsoft Excel (Pivot Tables, Charts, Dashboards)
- Data Cleaning & Transformation (Excel, SQL, Python)
- SQL (Joins, Aggregations, Queries)
- Python (Data Analysis, Pandas, NumPy)
- Power BI
- Tableau
- Designed and developed an end-to-end business analytics solution using SQL, Microsoft Excel, Power BI, and Tableau
- Built an interactive what-if analysis simulator to assess the impact of pricing, marketing, and inventory decisions on product performance
- Developed KPI dashboards to monitor key business metrics including sales, revenue, profit, and customer retention
- Created interactive visualizations to evaluate performance across products, categories, regions, and time periods
- Delivered actionable insights and strategic recommendations to support data-driven decision-making and business optimization
- Developed an end-to-end demand forecasting solution using Tableau, Power BI, and Excel
- Analyzed historical sales data to identify demand trends, regional performance, and top products
- Built interactive dashboards to visualize key metrics such as total demand, sales, and profit
- Implemented forecasting concepts including safety stock and recommended inventory levels
- Provided actionable insights to optimize inventory and reduce stockouts and overstock situations
- Built an interactive dashboard using Power BI
- Analyzed engagement, reach, likes, and follower growth data
- Created KPI cards and dynamic visualizations
- Used Power Query for data cleaning and DAX for calculations
- Advanced Data Visualization Techniques
- End-to-End Business Analytics Projects (Data Cleaning to Insight Generation)
- Analytical Thinking and Problem-Solving using Real-World Datasets
I enjoy turning complex datasets into simple, visual stories that anyone can understand.