Projects
Visualytics - Interactive Data Visualization Dashboard
Visualytics is an interactive, professional-grade data visualization dashboard built with Python, Streamlit, Plotly, and Pandas. It allows users to explore, analyze, and visualize CSV datasets instantly, with built-in filtering, KPIs, and predictive analytics.
Technologies: Python (Data processing & logic), Streamlit (Web dashboard), Pandas & Numpy (Data manipulation), Plotly Express (Interactive charts), Statsmodels (Time series forecasting)
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Retail Sales and Performance Analysis Dashboard
An end-to-end Power BI dashboard to analyze retail sales performance. The dashboard provides insights into sales, profit, cost, returns, customer behavior, and time-based trends using advanced DAX, data modeling, and business KPIs.
Tools: Power BI, Power Query
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Sales Data Analysis using Python
This project focuses on analyzing a large sales dataset (180,000+ rows) to uncover meaningful business insights. The goal is to understand sales performance across products, time, and locations using data analysis and visualization techniques.
Tools: Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn
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Coffee Shop Sales Data Analysis using Excel
This project demonstrates data cleaning and analysis using Excel. The dataset contained 10,000+ rows with missing values, duplicate records, and incorrect entries which were cleaned before performing analysis.
Tools: Microsoft Excel, Pivot Analysis
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Pizza Sales Analysis using SQL
SQL-based analysis to identify revenue trends, top pizzas, peak order time, and business insights.
Tools: SQL, MySQL
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Disease Prediction and Medicine Recommendation System
A web-based machine learning application that predicts diseases based on user-input symptoms and recommends relevant medicines, precautions, and disease descriptions.
Tools: Python, Numpy, Pandas, Scikit-Learn, Flask, HTML, CSS, JavaScript
View on GitHub