GIET Engineering College âĸ 2025
What I'm good at
Showcase of Work
The Startup Growth Analytics project explores the key factors that drive startup success using real-world data from sources like Kaggle and Crunchbase. The project involved end-to-end data analysis â from cleaning and preprocessing to visualization and modeling. It examined how variables such as funding amount, industry type, city, startup age, and investor network influence growth patterns. Through exploratory data analysis and visual dashboards, insights were drawn on top-funded sectors and startup hubs across India. A predictive machine learning model (Random Forest) was also developed to estimate funding potential. The project concludes with data-driven insights highlighting what makes startups successful, providing valuable guidance for entrepreneurs, investors, and policymakers.
