MY-LP1-PROJECT

Indian Startup Ecosystem Analysis

Project Overview

This project involved an in-depth analysis of the Indian startup ecosystem using funding data from 2018-2021. The key goals were to:

• Uncover funding trends over the years
• Identify top sectors receiving investments
• Pinpoint leading startup hubs
• Understand impact of sectors on funding amounts
• Highlight top companies by funding received

Datasets Used

The project relied on Indian startup funding data scraped from multiple sources:

• 2018: Obtained from a Kaggle dataset
• 2019: Collected from secondary internet sources
• 2020-2021: Fetched from a SQL database using Pyodbc

Key Libraries Used

• Pandas - For data manipulation
• Matplotlib & Seaborn - For visualizations
• Scipy - For statistical analysis
• Forex_python - For currency conversions

Key Findings

• 2020 witnessed peak startup funding of $38.6B
• Retail sector received maximum collective funding
• Bangalore hosted 30% of startups analyzed
• Startup stage correlates to funds received
• Reliance Retail topped companies by funding

Future Work

Additional analyses that can provide further insights:

• Sentiment analysis of investor comments
• NLP classification of startup descriptions
• Predictive modeling for expected valuations
• Graph analysis mapping investor-startup networks

References

Relevant articles and support resources utilized:

1. Azubi LP1 Data Analysis Course Material
2. Kaggle Indian Startup Funding Dataset
3. InvestIndia Startup Reports