Heart Disease Prediction web app
Built a Machine Learning model to predict Heart disease risk for future 10 years using real-world data. Integrated the model with a Flask backend and developed a web application for users to predict in real-world data.
Credit Card Fraud Detection
Built a Machine Learning model to detect fraudulent credit card transactions using real-world data. Integrated the model with a Flask backend and developed a web application for users to upload data and receive instant fraud predictions.
Pizza Sales Report
Dashboard(Power BI)
Designed and developed an interactive Power BI dashboard to visualize and analyze Pizza Sales data. Utilized SQL for data extraction, transformation, and loading (ETL) processes, enabling insightful reporting and dynamic visualizations for sales trends, top-selling items, revenue breakdowns, and customer behavior patterns.
Sales Analysis Python
(Pandas & Matplotlib)
In this project I use Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.
Bike Sales Analysis
Excel Project
This project involves analyzing sales data for a bike shop using Microsoft Excel. The dataset includes information such as income, gender, occupation, and more. By leveraging Excel's powerful features, I aim to gain insights from that data.
ETL
(Extract, Transform, Load)
The goal of this project is to perform data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.