MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053698 A) filed by Mr. Harsh Jha; Mr. Aditya Kumar; and Mr. Piyush Pal, Ghaziabad, Uttar Pradesh, on April 27, for 'exploratory data analysis of indian startup ecosystem and funding patterns.'
Inventor(s) include Mr. Harsh Jha; Mr. Aditya Kumar; and Mr. Piyush Pal.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The Indian startup ecosystem has grown dramatically over the past ten years because of supportive government programs like Startup India, rising digital penetration, and technological innovation. Even with this growth, thorough, data-driven research on how startups change across industries, geographical areas, and financing phases is still lacking. This research focuses on performing an exploratory data analysis (EDA) on datasets from Indian startups in order to identify important trends, funding patterns, and new business centers. The study includes systematic data pretreatment, visualization, and interpretation using Python tools such as Pandas, NumPy, Matplotlib, and Seaborn. The study's main conclusions include the geographic concentration of startups in major cities, sector-wise investment dominance, and financing trends over time. These findings provide useful information for legislators, investors, and entrepreneurs aiming to identify growth opportunities and optimize resource allocation in India's startup landscape. Future extensions of this study could include trend forecasting and predictive modeling, which could be used to forecast shifts in startup funding and success patterns. Keywords: Exploratory Data Analysis, Startup Ecosystem, Funding Patterns, Data Visualization, Machine Learning, Python, Indian Startups."
Disclaimer: Curated by HT Syndication.
