If you're a Data Analyst, Risk Analyst, or aspiring FinTech Analyst who wants to move from reporting dashboards to making financial decisions, read this:
Dashboards are not enough.
Modern financial institutions promote analysts who can:
• Quantify credit risk
• Detect fraud trade-offs
• Model expected loss
• Optimise portfolio returns
• Allocate capital responsibly
Most analysts learn tools.
Very few learn capital thinking.
So I built the FinTech Capital Intelligence Blueprint to move you from metric reporting to capital decision intelligence.
A system with two parts:
>> 1. Finance & FinTech Analytics Learning Framework
Learn how institutions actually operate:
• Financial system mechanics
• FinTech unit economics under risk
• Governance & regulatory thinking
• Capital allocation logic
• Executive financial communication
>>2. The 12-Week Practical FinTech Analytics Roadmap
Build 10 real-world projects:
• BNPL unit economics
• Payments revenue intelligence
• Credit risk modelling
• Fraud optimisation
• Portfolio stress testing
• Capital allocation simulation
• LTV & churn economics
• AML optimisation
• Credit limit strategy
• Revenue forecasting
This is not decorative analytics.
This is institutional-level financial thinking.
If you want the roadmap:
1️⃣ Like
2️⃣ Repost
3️⃣ Comment ROADMAP
4️⃣ ‼️Send me a DM, and I’ll share it.
If you’re a Data Analyst, CRM Analyst, or aspiring Marketing Analyst who wants to move from Junior into senior-level commercial impact in the next 12 weeks, read this. 👇👇
You don’t get promoted for building dashboards.
You get promoted for influencing revenue.
Most analysts stop at reporting:
- CTR.
- Conversion rate.
- CPA.
Senior analysts answer:
Where should we scale?
What should we cut?
Why did revenue move?
What do we do next?
That’s a different level of thinking.
So I built a 12-week practical roadmap designed to move you from metric reporting to commercial decision-making.
No theory-heavy fluff.
No passive courses.
No random portfolio projects.
Just 7 real-world builds using real datasets:
• Campaign ROI & budget reallocation
• Conversion prediction (lead scoring)
• A/B testing with statistical confidence
• RFM segmentation for retention strategy
• Churn risk analysis
• Cohort retention modelling
• Marketing mix & incrementality thinking
By the end, you’ll have:
• 6–8 commercial case studies
• A strong public portfolio
• Clear KPI fluency
• Interview-ready impact stories
This is how you transition from “analyst” to revenue operator.
If that’s your goal, reply ROADMAP, REPOST, and I’ll share it to your DM.
Data Analytics from Zero to Expert Free Course 😲
A Udemy Complete Paid Course for Free.
This Course covers;
- Excel
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- Python
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→ Many more..
To get it simply Dm 48 hours
1. Follow (so that I can DM)
2. Like & Repost
3. Type "Learn" to get DM 📩
We prepared 10 Financial modeling templates.
However, when it comes to templates, please be cautious.
I am sharing these templates so you can understand certain relationships within a financial model, rather than for you to use them exactly as they are.
I always encourage students to build their own templates and models from scratch, using mine only as a guiding framework.
Now, here is what’s on the menu today.
Headcount and payroll model
Inventories planning model
Revenue planning model
Operating expenditures
Capital expenditures
Income tax planner
Net working capital
Equity schedule
Goal checker
Assumptions
Learn how to align your model from setting the goals and assumptions to final model validation.
If you want these templates in Excel, just drop a comment and I’ll send it to you.
(Important: follow me so I can DM you!)
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To get your copy 👇
1️⃣ Like & Repost
2️⃣ Comment “N8N”
3️⃣ Follow (so I can DM you the guide)
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Excel proficiency is a prerequisite for 80% of job positions.
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➥ Pro Tips and Handy Shortcuts
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To get it, just:
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