Featured Projects
A collection of my Real-world projects using Python, Machine Learning, and SQL.
Movie Data Analysis
Performed Exploratory Data Analysis (EDA) on movie datasets using Python, Pandas, and Matplotlib to uncover trends, rating distributions, and genre insights.
Books Sales & Ratings Analysis
This project analyzes a Books Dataset using Python and data visualization. It includes sales, ratings, authors, genres, and publication details to explore trends in book popularity and revenue.
Telecom SQL System
Telecom Management System built with SQL Server featuring ERD design, advanced SQL (Views, Functions, Stored Procedures, Triggers, Cursors), and business analytics for usage monitoring and revenue insights.
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E-Commerce-Analytics
An interactive E-Commerce Analytics Dashboard built with Python, Plotly, and Dash. It provides insights into sales trends, customer behavior, product performance, and geographical distribution.
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Car Price Prediction
Developed a machine learning regression model to predict car prices using Python and scikit-learn. Applied data analysis, preprocessing, feature engineering, and model evaluation techniques to identify the most accurate model.
Diabetes Prediction
This project applies several machine learning models to the Diabetes Dataset to predict whether a person is likely to have diabetes. The code includes data loading, model training, evaluation, and visual comparison using metrics such as accuracy, recall, precision, and F1-score.
