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Dual Operations: Doha, Qatar & New Delhi, India
Doha (AST UTC+3): --:--:--
Delhi (IST UTC+5:30): --:--:--
QUANTITATIVE FINANCE & PREDICTIVE ANALYTICS

Transforming Complex Financial Data into Deterministic Alpha.

Architecting institutional FP&A pipelines, dynamic 3-statement models, machine learning risk engines, and enterprise unit economics. Replacing fragile spreadsheets with reproducible analytics for CFOs, boards, and finance leaders.

SQL & Data Pipeline Architecture
3-Statement Dynamic LBO/DCF
ML Predictive Churn & Revenue
iTanveer.in // ANALYTICS CORE
REPRODUCIBLE
Capital Modeled
$450M+
Cross-Border Portfolios
Variance Accuracy
99.4%
Backtested Forecasts
EBITDA Efficiency Lift
+14.8%
Working Capital Gains
ETL & Data Pipelines
40+
SQL / dbt / Python
Monte Carlo 1,000 Iteration Cash Flow CONVERGED
Active Production Engine tanveer@itanveer.in
QUANTITATIVE PROJECTION ENGINE

Interactive EBITDA & Enterprise Valuation Simulator

Adjust the parameters to compute real-time EBITDA margin expansion and corporate valuation uplift achieved through automated FP&A pipelines and working capital rationalization.

$30,000,000
$2M $100M $200M+
12.5%
2% 20% 40%
4.0%
1.0% 5.0% 10.0%
9.0x
4.0x 14.0x 24.0x
• Calculations model cash conversion cycle acceleration, OPEX elimination via Python automation, and variance reduction calibrated from institutional mandates.
Annual EBITDA Expansion
+$1,200,000

Net recurrent annual cash flow lift

Enterprise Valuation Uplift
+$10,800,000

Based on applied EV multiple

Baseline EBITDA vs Optimized Run-Rate 12.5% → 16.5%
Ready to audit your enterprise data models? Initiate Financial Audit
TECHNICAL DOMAINS

Institutional Corporate Finance &
High-Precision Analytics

Algorithmic, quantitative frameworks designed to scale across complex multi-entity structures, holding companies, and high-velocity technology firms.

01
FP&A Architecture

Enterprise FP&A & Dynamic 3-Statement Modeling

Driver-based dynamic Income Statement, Balance Sheet, and Cash Flow models. Rolling 13-week cash forecasts, variance decomposition, and scenario matrices built for extreme resilience.

✓ Zero-Base Budgeting (ZBB)
✓ Monte Carlo Sensitivity Analysis
✓ Multi-Horizon Rolling Runways
02
Machine Learning Analytics

Predictive FinTech & Machine Learning Engines

Employing supervised regression and classification to predict customer churn, dynamic price elasticity, default hazard curves, and statistical revenue decay curves.

✓ Python (Scikit-Learn, Pandas, NumPy)
✓ Dynamic Cohort Churn Forecasting
✓ Credit Risk Scoring Models
03
Transaction Modeling

M&A Diligence, DCF & Valuation Engineering

Comprehensive Discounted Cash Flow (DCF), Leveraged Buyout (LBO), Quality of Earnings (QoE) decomposition, and purchase price allocation (PPA) across cross-border operations.

✓ Quality of Earnings (QoE) Analysis
✓ Waterfall & Cap Table Modeling
✓ Synergy & Accretion/Dilution Engine
04
Executive BI

Automated Power BI & SQL Command Centers

Synthesizing ERP databases (Oracle, SAP, NetSuite, Zoho, Tally) into real-time executive Power BI & Tableau telemetry with sub-second querying latency.

✓ Real-Time Flash Reporting
✓ Automated Data Pipeline Ingestion
✓ Anomaly & Variance Detection Alerts
05
Working Capital

Working Capital Engineering & Treasury

Minimizing the Cash Conversion Cycle (CCC), optimizing Days Sales Outstanding (DSO), multi-currency FX exposure tracking (QAR / INR / USD), and debt covenant stress tests.

✓ Cash Conversion Cycle Compression
✓ Multi-Currency FX Hedging Models
✓ Working Capital Facility Optimization
06
Unit Economics

Unit Economics & LTV/CAC Granular Analytics

Cohort retention decay analysis, Contribution Margin II / III audits, payback period compression, customer acquisition efficiency, and micro-segmentation profitability.

✓ Cohort LTV:CAC Payback Curves
✓ Marginal SKU Contribution Analytics
✓ Gross Margin Leakage Identification
QUANTITATIVE TELEMETRY ENGINE

Visualizing Data-Driven Alpha Models

Switch between production-grade financial telemetry modules to explore algorithmic variance decomposition, predictive revenue forecasts, and liquidity dynamics.

Multi-Horizon Budget vs. Actual Variance Decomposition ($ Millions)

Deterministic rolling variance decomposition isolating volume, price, and FX impacts

Primary Model Benchmark
STOCHASTIC PLANNING MATRIX

Scenario Stress-Testing Framework

Evaluate financial performance under differing operational climates. Toggle between Base, Bull, and Stress scenarios to observe real-time key metrics.

Gross Revenue Target
$48.5M
+12% YoY baseline
EBITDA Margin
18.4%
Stable OpEx Ratio
Cash Conversion Cycle
42 Days
DSO: 48d / DPO: 52d
Debt Service Coverage (DSCR)
2.65x
Covenant Headroom: 45%
Base scenario assumes calibrated historic growth, 1.5% working capital optimization, and zero macro covenant breaches.
QUANTITATIVE TOOLCHAIN

Modern Analytics & Financial Modeling Stack

Leveraging statistical libraries, enterprise data warehouses, and dynamic financial modeling environments.

PY
Python
Pandas, NumPy, Scikit
SQL
Advanced SQL
Windowing, CTEs, dbt
PBI
Power BI & DAX
Tabular Models, M-Query
SNOW
Snowflake
Cloud Warehousing
MC
Monte Carlo
Stochastic Modeling
FM
Excel / VBA
Institutional LBO/DCF
QUANTITATIVE TRACK RECORD

Documented Impact & Financial Engineering Case Records

Representative institutional engagements across the GCC and South Asian commercial corridors.

Doha, Qatar Hub Retail & Logistics Group ($180M Revenue)

Treasury Overhaul & Algorithmic Working Capital Compression

Problem: Disparate accounting ledgers caused delayed visibility into cash flows, resulting in idle buffer balances and unhedged FX exposures across QAR, USD, and EUR during high-import cycles.

Financial Engineering: Deployed an automated 13-week rolling liquidity engine in Python and Power BI, linking directly to banking APIs and ERP tables to automate multi-currency netting and working capital triggers.

$19.4M
Idle Liquidity Reallocated
-24 Days
Cash Conversion Cycle
0.02%
Cash Variance Sigma
Analytics Architecture
✓ Automated SQL Pipeline & Power BI Telemetry
✓ Dynamic Multi-Entity FX Netting Matrix
✓ Monte Carlo Working Capital Simulations
New Delhi, India Hub Series B FinTech & Neo-Lender

Predictive Credit Risk Modeling & Institutional Diligence Readiness

Problem: Hidden loan book default volatility and inaccurate cohort retention curves clouded portfolio unit economics, threatening institutional debt facility covenants.

Financial Engineering: Rebuilt the underwriting model with gradient boosting (XGBoost) in Python, engineered survival analysis curves for credit risk, and automated cohort LTV:CAC decay reconciliation.

310 bps
Default Hazard Reduced
$42M
Institutional Round Closed
4.2x
LTV:CAC Ratio Verified
Analytics Architecture
✓ Python XGBoost Credit Risk Scoring
✓ Cohort LTV Decay Analytics Pipeline
✓ 3-Statement Institutional Model Defense
CROSS-BORDER INFRASTRUCTURE

Dual Financial Hub Operations

Direct operational presence spanning the GCC and South Asian commercial centers.

QA
Doha Operational Hub
AST (UTC+3) • --:--:--

State of Qatar & GCC Operations

Delivering quantitative corporate finance modeling, working capital optimization, and real-time Power BI reporting for conglomerates, retail enterprises, and investment offices.

Direct Telephone:
Coverage: Qatar, UAE, Saudi Arabia, GCC
Specialization: Treasury Netting, Mega-Project FP&A
IN
New Delhi Operational Hub
IST (UTC+5:30) • --:--:--

India & South Asia Operations

Driving machine learning predictive analytics, unit economics architecture, SQL data pipelines, and valuation diligence for institutional portfolios across the NCR, Bengaluru, and Mumbai corridors.

Direct Telephone:
Coverage: India, APAC Technology Hubs
Specialization: FinTech Analytics, Unit Economics, DCF
DIRECT ENGAGEMENT

Initiate a Finance & Analytics Project.

Whether engineering an institutional 3-statement forecast model, integrating automated Power BI dashboards, or auditing transaction valuation models, initiate direct contact below.

@
Official Project Email
info@itanveer.in
QA
Qatar / GCC Office Line
+974 71007352
IN
India / South Asia Line
+91 9718178834
Professional Network
linkedin.com/in/tanveer-ahmad-ai

Confidential Project Scope Brief

Inquiries are protected by strict corporate confidentiality agreements.