Conducted an “in-depth” analysis of customer demographics and purchasing behavior using Excel. Utilized “pivot tables” interactive dashboards, and various charts to uncover insights into customer profiles, purchasing patterns, and factors influencing bike purchases. Analyzed key metrics such as income, age, and occupation, and provided actionable recommendations to improve marketing strategies and customer engagement based on data-driven insights.

Developed an advanced customer churn prediction model and an interactive dashboard using Power BI. The project aimed to identify customers at risk of churning Through interactive visualizations and reports, stakeholders can now make data-driven decisions to enhance customer retention strategies. The project showcased my skills in data analysis and proficiency in Power BI.

Conducted a comprehensive analysis of Zomato data for the city of Pune using Python programming language. The project focused on exploring and visualizing key trends and insights related to restaurant ratings, and customer preferences. The analysis was carried out using Jupyter Notebook with extensive use of libraries such as Numpy, Pandas, Seaborn, and Matplotlib.