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The Quantitative Engine
Where Data Becomes
Intelligence
Interactive models, live simulators, and downloadable datasets — the analytical backbone of Kunwar Analytics, built to be explored.
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Interactive Models
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Core Tools
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Sectors Analysed
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Dataset-driven
What We Build
The Full Analytics Toolkit
Every Data Lab project ships with transparent methodology, interactive exploration, and downloadable data.
Predictive Modelling
S-curve forecasts, penetration models, and scenario bands calibrated on real registrations and filings.
Unit Economics
Store-level and cohort-level P&L builds that pinpoint contribution-margin break-even thresholds.
Python & Pandas
Clean, reproducible data pipelines with scipy, matplotlib, and scikit-learn for serious analysis.
Power BI Dashboards
Interactive executive dashboards that turn raw datasets into decision-ready visuals.
Excel Financial Models
Transparent, auditable model builds — every assumption surfaced, every driver adjustable.
End-to-End Workflows
From raw data sourcing to validated insights — documented methodology on every project.
How It Works
From Raw Data to Interactive Insight
A transparent, four-step process behind every Data Lab project.
01
Source the Data
Every project begins with raw, verifiable data — company filings, RBI/VAHAN statistics, and industry reports. Sources are cited in the methodology.
02
Build the Model
We construct transparent, reproducible models in Python, Excel, or Power BI — every assumption surfaced, every driver adjustable.
03
Explore Interactively
Adjust inputs with live simulators, switch chart views, and interrogate the numbers — then download the dataset to verify.
04
Take It Away
Every project ships a downloadable CSV and a documented write-up so you can reuse the analysis in your own work.
Featured Project
ExcelPythonPower BID2C / E-Commerce
D2C Brand Unit Economics Model
At what repeat-purchase rate and contribution-margin profile does a direct-to-consumer (D2C) brand become sustainably profitable, and how do CAC and retention interact?
A full-funnel unit-economics model for D2C brands — CAC, AOV, repeat rates, and contribution margin — showing the path to profitability and the LTV:CAC threshold that separates winners from cash-burners.
> 3x
LTV:CAC Target
~35%
Repeat Purchase
₹1,250
AOV
> 22%
Breakeven Contribution
4 weeksOpen Interactive Model
The Collection
Explore Every Project
Search, filter by tool or sector, and open any project to interact with its model, chart, and dataset.
Every project ships a downloadable CSV
7 projects found
ExcelPythonPower BI
D2C / E-Commerce 4 weeks
D2C Brand Unit Economics Model
A full-funnel unit-economics model for D2C brands — CAC, AOV, repeat rates, and contribution margin — showing the path to profitability and the LTV:CAC threshold that separates winners from cash-burners.
> 3x
LTV:CAC Target
~35%
Repeat Purchase
PythonPandasSeaborn+1
Equity Markets 3 weeks
Indian Stock Market Concentration Analysis
A top-down analysis of how a few large caps dominate Nifty weight and total market cap, and the implications for index investors, diversification, and active management.
~57%
Top-10 Weight
₹450T+
Market Cap (Total)
PythonPandasMatplotlib+1
Mutual Funds 2 weeks
Indian Mutual Fund SIP Trends Analysis
A data-driven look at India’s booming SIP culture — tracking monthly contribution growth, scheme-wise allocation, and the retail-investor democratisation story from FY20 to FY26.
₹27T+
Monthly SIP Inflow
₹13T
SIP AUM
PythonPandasScikit-learn+1
Fintech 4 weeks
Indian Fintech Lending Risk & Growth Model
A dual-lens model linking digital-loan book growth with credit quality and unit economics — showing the growth-vs-risk tradeoff that separates sustainable lenders from credit-boom casualties.
34%
Loan Book CAGR
2.9%
Sector GNPA
PythonPandasSciPy+1
Electric Vehicles 3 weeks
India EV Penetration Forecast Model
A bottom-up S-curve penetration model projecting Indian EV adoption across segments and states to FY30, blending subsidy policy, charging infrastructure, and total-cost-of-ownership.
FY25
E2W at 10%
FY28E
E2W at 30%
ExcelPower BIPython
Quick Commerce 3 weeks
Q-Commerce Dark Store Unit Economics Model
A store-level P&L simulation of a 1,500 sq. ft. dark store in a Tier-1 Indian city, pinpointing the daily order-volume threshold where a store turns contribution-margin positive.
≈ 410
Breakeven Orders
1,500 sq ft
Store Footprint
PythonPandasMatplotlib+1
Venture Capital 2 weeks
Indian Startup Funding Trends: FY20–FY26 Analysis
A systematic FY20–FY26 review of Indian startup funding — tracking ₹ total funding, sector allocation, and stage-wise shifts from the funding boom through the winter into selective recovery.
12,000+
Rounds Tracked
FY20–FY26
Fiscal Years
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