Welcome to my portfolio. Here you can find my projects and learn more about my skills in Python, SQL, Advanced Excel, Power BI and Tableau.
Developed an interactive Power BI dashboard for Blinkit to analyze sales performance across key metrics and dimensions. The dashboard enables data-driven decision-making by providing actionable insights into sales trends and patterns
The Prime Video Data Analysis Dashboard provides a powerful tool for stakeholders to gain actionable insights into the content landscape. Whether making decisions about content acquisition, audience targeting, or platform performance, the dashboard serves as a valuable resource for datadriven decision-making.
The objective of this project is to analyse the factors influencing bike purchases among a dataset of individuals. Using Excel, we have created a dashboard that provides insights into the demographics, behaviours, and characteristics of individuals who have bought bikes and those who have not.
The "Virat Kohli's Career Analysis" project offers a comprehensive analysis of Virat Kohli's cricketing performance, highlighting his achievements across different years, opponents, and grounds. Using a detailed dataset, the project provides insightful visualizations to explore his career, from top performances to overall statistics.
The Zomato SQL Data Analysis project analyzes the "zomato" database, containing tables like "users," "sales," "product," and "goldusers_signup," to extract insights on user data, sales, and product details.
The Diwali Sales Analysis project uses Python with libraries like NumPy, Pandas, Matplotlib, and Seaborn to analyze and visualize data from the "Diwali_Sales_Data.csv" dataset, focusing on sales during the Diwali festival.
This Tableau project analyzes British Airways reviews, focusing on customer sentiments and performance metrics across various dimensions, with insights drawn from detailed review and country-specific data.
The Music Store Data Analysis project uses SQL to explore a relational database, analyzing transactions, customers, employees, and artists. It identifies key patterns to guide business decisions effectively.
This Python project analyzes student scores using a dataset with attributes like gender, parent education, test preparation, study hours, and scores in math, writing, and reading to uncover performance trends and insights.
Vrinda Store uses Excel to analyze its operational data, uncovering actionable insights to boost sales, optimize strategies, and enhance customer engagement. It aids in identifying key trends and areas for targeted improvements.
The project analyzed comprehensive company data using Power BI to derive key insights on valuations, funding, industries, locations, and historical trends to support strategic decisions.
The Census Analysis Database project leverages SQL to analyze demographic data from Indian states and territories using two datasets: one with detailed census information and another with supplementary spatial data.
This Excel project provides an interactive sales dashboard featuring dynamic charts, slicers, and in-depth insights to drive smarter, data-driven business decision-making processes.
The Coffee Chain Dashboard in Power BI analyzes coffee chain company data using features like drill-throughs and slicers, providing insights into profits and market performance..
This project creates an interactive Tableau dashboard to analyze a dataset of data science employees. Key data includes employee details, experience, job roles, salaries, remote work, and company attributes.
The Hotel Bookings Data Analysis project leverages Python for data exploration, analysis, and visualization of hotel bookings, utilizing Pandas for manipulation and insights from the data.