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Profit_Prediction_Analysis
GitHubRepository

Profit_Prediction_Analysis

This end-to-end data analytics project evaluates how operational spending impacts startup profitability and builds a predictive machine learning model to help stakeholders optimize budget allocation

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  • Jupyter Notebook language
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Published
3 Sept 2026
Updated
7 Sept 2026
AI summary

This repository contains an end-to-end data analytics project that analyzes how operational spending impacts startup profitability. It includes exploratory data analysis, a linear regression model for profit prediction, and an interactive Power BI dashboard for visualizing metrics.

From the README

Startup Profit Prediction and Analysis 🚀 📌 Project Overview Startups allocate budgets across R&D, Marketing, and Administration. This project performs exploratory data analysis and uses machine learning to predict startup profitability based on expenditure patterns, helping business stakeholders optimize their budget allocation. --- 🎯 Objectives • Analyze expenditure patterns and their relationship with startup profits. • Identify primary financial drivers of profitability. • Build & Evaluate a Linear Regression model for profit prediction. • Visualize business metrics and correlations through an interactive Power BI dashboard. --- 📊 Dataset Description The dataset consists of 50...

Skills

  • Jupyter Notebook
  • analytics
  • dashboard
  • exploratory-data-analysis
  • linear-regression
  • powerbi
  • python
  • sql

More work by Seelam Manoj Prabhakar