Vandna Kumari

I’m a Data Analyst with 3+ years of professional experience in data interpretation, visualization, and reporting. I specialize in extracting data from databases (SQL, Excel, and cloud sources), cleaning and transforming raw data into structured formats, and validating results through data quality checks.

I build decision-ready analytics using Power BI and Tableau, including Power BI DAX measures, data modeling, and interactive dashboard development. I also create daily, weekly, and monthly performance reports, conduct exploratory data analysis (EDA) to find patterns, trends, and correlations, and communicate findings clearly through presentations, reports, and dashboards.

I enjoy using SQL to write and optimize queries and Python scripts to automate repetitive tasks, while documenting processes for future reference. In projects like Fitbit Finess Tracker analysis and IPL Auction Strategy, I used PostgreSQL and Excel visualizations to generate actionable recommendations, and in a Rainfall Prediction Model I applied machine learning classification approaches (decision trees and ensemble methods) to improve predictive accuracy.