Nayan User

I’m an aspiring data analyst with a strong foundation in SQL, Python, Excel, and core data analysis concepts. I’m driven by turning raw, messy data into clear, decision-ready insights.

Through projects like a Cricket Performance Analytics Dashboard, I analyzed match data to surface player performance trends and team statistics. I used Python Pandas for data cleaning and transformation, wrote SQL queries for key metrics, and built an interactive Power BI dashboard with KPIs and visualizations.

In a Customer Churn Analysis project, I worked with customer datasets to identify churn and retention drivers. I performed data cleaning, preprocessing, and EDA in Python, calculated churn rate and high-risk segments with SQL, and visualized churn patterns in Power BI to support retention strategy improvements.

I also developed an HR Employee Analytics Dashboard focused on workforce trends and attrition. Using Excel for data cleaning, SQL for department counts and salary analysis, and Power BI for performance tracking, I helped uncover insights for retention and workforce planning, reinforced by Data Analytics Essentials (Cisco) and Python Developer training.