Dan Read // Data & Commercial Professional

Hi, I'm Dan 👋
A formallyeducated Economist.
With a passionfor data science,automation & finance.
A proven recordin helping businessesnavigate the everchanging future 🌍

🡶 FRAZER-NASH

Senior Consultant

AUG 24 - PRESENT /

— Skills ⬎
⬩ Capture ⬩ Win Strategy ⬩ Business Development ⬩ PWin
⬩ Competitive Intel ⬩
⬩ Bespoke Tooling ⬩ Business Winning
—

Consultant

AUG 23 - AUG 24 /

— Skills ⬎
⬩ Commercial Analysis ⬩ Power BI ⬩ Excel Modelling ⬩ PWin
⬩ Game Theory ⬩ Statistical Analysis
⬩ Project Management ⬩ Business Winning
—

🡶 HONDA AUTOMOTIVE

Business Intelligence
Manager

MAR 22 - AUG 23 /

— Skills ⬎
⬩ Power BI ⬩ Business Intelligence ⬩ Big Data ⬩ SQL ⬩ Azure
⬩ Power Automate ⬩ Microsoft Fabric
⬩ Data Intelligence ⬩ System Architecture ⬩ Change Management
⬩ Continuous Improvement ⬩ Project Management ⬩ Business Analysis
—

🡶 MCLAREN

Global Aftersales
Pricing Specialist

FEB 21 - MAR 22 /

— Skills ⬎
⬩ Power BI ⬩ Excel Modelling ⬩ Pricing Strategy
⬩ Commercial PNL & Reporting ⬩ FX Hedging
⬩ Python ⬩ A/B Testing ⬩ Valuation ⬩ Statistical Data Analysis
—

Global Aftersales
Inventory Specialist

FEB 20 - FEB 21 /

— Skills ⬎
⬩ Supply Chain Operations ⬩ Inventory Analysis
⬩ Inventory Management ⬩ Data Modelling
—

🡶 STRATEGY & LEADERSHIP

Executive Strategy

Director Level /

Growth & M&A

Commercial /

— Competencies ⬎
⬩ P&L Management ⬩ Data-Driven Decision Making ⬩ Mergers & Acquisitions
⬩ Organisational Leadership ⬩ Board Reporting ⬩ Strategic Vision
⬩ Critical Thinking ⬩ Change Management ⬩ Problem Solving
—

🡶 AI & INNOVATION

Generative AI

RAG & LLMs /

Agentic Workflows

LangChain /

— Stack ⬎
⬩ Retrieval-Augmented Generation (RAG) ⬩ Vector Databases
⬩ OpenAI API ⬩ Model Fine-Tuning ⬩ Prompt Engineering
⬩ Autonomous Agents ⬩ Python ⬩ Automation
—

🡶 CLOUD & INFRASTRUCTURE

Cloud Architecture

Azure & AWS /

Data Engineering

Fabric & Factory /

— Tech & Ops ⬎
⬩ Microsoft Fabric ⬩ Azure Data Factory ⬩ Data Warehousing
⬩ Cloudflare (Tunnels/Proxies/DNS) ⬩ Network Security
⬩ CI/CD Pipelines ⬩ Docker ⬩ Serverless Functions
—

🡶 DATA & DEVELOPMENT

Full Stack

Vite / React / Node /

Analytics

Power BI / SQL /

— Toolkit ⬎
⬩ TypeScript ⬩ Tailwind CSS ⬩ API Design ⬩ Git
⬩ Advanced DAX & M ⬩ Statistical Analysis ⬩ Python (Pandas/NumPy)
⬩ Game Theory ⬩ Competitive Intelligence ⬩ Market Analysis
—

LinkedIn ↗

Data & Automation
Specialist
Finance
Advocate
Marginal Improvement
Preacher
Commercially
Astute

🡶 CONSULTING

Strategy Consulting

Fixed Price /

— Features ⬎
⬩ Advanced Models ⬩ 3 Point Estimates
⬩ Landing Zones ⬩ Up to 5 Competitors
—

🡶 SAAS

QuoteBuilder

AI Quoting /

— Features ⬎
⬩ AI Job Analysis ⬩ Material Lists
⬩ Time Estimation ⬩ PDF Exports
—

🡶 SAAS

Graphite - "Graph it"

Web Graphing /

— Features ⬎
⬩ Data Visualization ⬩ Analytics
—

🡶 CMD

CMD Portfolio

Command Based /

— Features ⬎
⬩ Command Interface ⬩ API Calls ⬩ Weather ⬩ Cars
—

🡶 BID INTEL

Bid Intel

SaaS /

— Features ⬎
⬩ 3M+ Contract Awards ⬩ Market Share Analysis
⬩ Trends ⬩ Bid Budgets ⬩ Prime Financials ⬩ MOD Spend
⬩ Simulations ⬩ PTW Tooling ⬩ Capture Tooling ⬩ + More —

🡶 POWER BI

UK Contract Awards

SaaS /

— Features ⬎
⬩ Award Values ⬩ Suppliers ⬩ Customers
⬩ Trends ⬩ Bid Budgets ⬩ MOD Pipeline ⬩ MOD Spend
—

Income Statements

SaaS /

— Features ⬎
⬩ Defence Prime Financials ⬩ Trends
⬩ Gross Margins ⬩ Net Income & More
⬩ ONS PAYE Salary Data ⬩
—

🡶 TAILORED AI

Research

SaaS /

— Features ⬎
⬩ Tailored Research GPTs
⬩ Competitor Intel & Analytics
⬩ Analyse Bid Strategies
—

🡶 PWIN CALCULATOR

Price Competitiveness

%

Customer Alignment

%

Current Win Rate

%

Win Rate Significance

%

Strategic Fit

%

Competitive Landscape

%

Incumbent Factor

%

Prob(Loss)

%

PWIN 0%

— Variables ⬩ 0% - 100% ⬎
⬩ Price Competitiveness → How competitive the price is
⬩ Customer Alignment → Relationship strength & customer preference
⬩ Current Win Rate → Past success rate on similar competitions
⬩ Win Rate Significance → Weighting factor for historical win rate
⬩ Strategic Fit → Alignment with company capabilities & objectives
⬩ Competitive Landscape → Strength & number of competitors
⬩ Incumbent Factor → Advantage or disadvantage of being an incumbent (1 = strong advantage)
⬩ Probability of Loss → Estimate of losing due to external factors
—

🡵

Get In Touch!

You can contact
me by reaching
out via LinkedIn
or by sending an
email to
[email protected]