projects / analytics & bi / startup funding
Notebook 2024

Startup Funding
Analysis 2015–2023

Where does venture capital flow? Which sectors attract the most investment and why? This analysis explores 2,000 funding rounds across 10 countries and 10 sectors to find structural patterns in global startup investment.

Python Pandas Plotly NumPy EDA

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Venture capital markets are opaque. Founders, analysts and executives make strategic decisions based on media hype rather than data. Which sectors are actually attracting capital? Which geographies dominate? How does the funding funnel really work?

Built a synthetic dataset of 2,000 funding rounds modeled after real Crunchbase distributions — realistic stage ranges, sector weights and an 8% annual growth factor reflecting the 2015–2023 bull market. Then structured the analysis to go from macro to micro: time trends → sector distribution → geography → stage analysis → sector momentum.

01
AI/ML is real capital reallocation

Growth in AI/ML funding isn't just new money — it's capital migrating from Web3 and Edtech toward more predictable returns.

02
The venture funnel is brutally steep

35% of deals are Seed rounds. Only 6% reach Series D+. The power law of venture capital is visible in every dimension of the data.

03
Macro cycles drive everything

The 2021 peak and 2022–2023 normalization mirrors interest rate cycles. Venture capital is not immune to macroeconomics.

04
Europe remains fragmented

Despite strong individual ecosystems, combined European capital barely matches India. Regulatory fragmentation is a structural drag.

Pandas
Data manipulation and groupby aggregations
NumPy
Synthetic data generation with realistic distributions
Plotly
Interactive charts — bar, treemap, line and subplots
Jupyter
Narrative analysis with inline visualizations