Startup Growth Analytics: Exploring Patterns of Success in Indian Startups

Objective: Analyze real-world Indian startup funding data to uncover factors that drive startup growth and early success. Dataset Used: Indian Startups Funding Dataset (2015–2024) – includes information on startup name, industry, city, funding amount, investors, and investment type. Tools & Techniques: Python, Pandas, Plotly (interactive visualizations), Scikit-Learn (for predictive modeling), Data Cleaning, EDA, Feature Engineering. Key Insights: Top Funding Cities: Bengaluru, Mumbai, and Gurgaon lead in total funding raised. Industry Trends: E-Tech, FinTech, and E-commerce startups attract the highest investments. Investment Types: Seed rounds and Series A/B dominate early-stage funding. Successful Startup Patterns: Startups with funding > $1M and multiple founders have higher success probability. Yearly Trends: Total funding has steadily increased over recent years, indicating a growing startup ecosystem. Impact: Provides data-driven recommendations for aspiring entrepreneurs and investors on where and in which sector to focus for maximum growth potential.

karan shelke

Data Scientist