Financial Analytics · Research · Business Intelligence

The number is rarely the whole story.

I investigate what sits behind the headline metric — across financial research, business intelligence and market analysis — and build the evidence needed to understand what is really happening.

Featured research Active
Bitcoin Cycle Bottom Research dashboard
Featured research · 01 / Flagship

Bitcoin Cycle Bottom Research

Assessing Bitcoin's June 30, 2026 low through drawdown structure, valuation, capital flows, derivatives and historical recovery behaviour.

$58.53KCycle bottom
-53.11%Drawdown
30.52%Recovery
Research that starts with a question

Not every interesting
number is an answer.

I use data to investigate what changed, why it changed, and whether the evidence actually supports the story being told.

01 · Market research

Bitcoin Cycle Bottom — June 30, 2026

Is the June 30 low a credible Bitcoin cycle bottom?

A multi-layer research project combining market structure, MVRV, realized price, ETF flows, CME positioning, open interest and historical cycle recovery data.

Power BISQLOn-chain dataInvestment research
Open research desk →
Bitcoin Cycle Bottom Research dashboard preview
Selected work

15 investigations.
Different questions.

Each project starts with a specific question and follows the evidence to a useful conclusion — across financial research, business intelligence, market analysis and data analytics.

01Market Research
↗

Bitcoin Cycle Bottom Research

Is the June 30, 2026 low a credible Bitcoin cycle bottom?

$58.53KCycle bottom
-53.11%Drawdown
30.52%Recovery
Power BIOn-chainMarket Research
View case study →
02Financial Research
↗

Dangote Refinery IPO Analysis

Testing what earnings power the ₦525 IPO offer price requires.

₦525Offer price
$13.91BH1 revenue
₦314–588Scenario range
ValuationPostgreSQLPower BI
View case study →
03Sports Analytics
↗

FIFA World Cup Evolution

How has the modern World Cup evolved in scale, demand and global reach?

48Teams
104Matches
99.74%Capacity use
PostgreSQLSQLPower BI
View case study →
04SQL Analytics
↗

Nexus Retail Analytics

Do promotions actually lift demand, and where is inventory capital getting trapped?

$4.0MInventory capital
9Business questions
99–100Units / transaction signal
PostgreSQLSQLRetail
View case study →
05Product Analytics
↗

AICines Product Analytics

How do creator activity, content engagement and monetization interact across an AI-first content platform?

15KModeled users
132.26MModeled views
$1.31MModeled revenue
PostgreSQLSQLPower BI
View case study →
06Commercial BI
↗

OmniStep Global Footwear Analytics

How much revenue is being surrendered through discounts across a global footwear business?

$10.48MGross sales
$9.08MNet revenue
83.43%Discounted orders
Power BIDAXCommercial
View case study →
07Financial Analytics
↗

Finovia Global Finance

A multi-page view of loan operations, outcomes and overall finance performance.

3Analytical views
FinancePerformance
LoanOutcomes
Power BIDAXLoan Analytics
View case study →
08Public Health
↗

ASEAN VitalSigns

What do health investment, workforce capacity and outcomes reveal across ASEAN?

SDG 3Health focus
4+Evidence areas
Power BIDecision model
Public HealthPower BIData Modelling
View case study →
09Impact Analytics
↗

Sub-Saharan Africa Energy Access

Where are the largest energy-access gaps, and how do they intersect with sustainability?

3Dashboard views
SDG 7Framework
EnergyAccess & transition
Power BISDG 7Sustainability
View case study →
10Business Intelligence
↗

Deskify Office Supply

Turning static office-supply reporting into an interactive view of profitability and customers.

StarSchema model
DAXKPI layer
2Analysis pages
Power BIDAXPower Query
View case study →
11Business Analytics
↗

Salient Ventures

What drove Q4 revenue, profitability and customer performance — and where should attention go next?

$115MRevenue
$17MProfit
15%Margin
ExcelProfitabilityDashboarding
View case study →
12Retail Analytics
↗

Wexford & Rowan Q3 Retail

Which products, customers, regions and time periods shaped Q3 retail performance?

$264KQ3 revenue
2,000Orders
$132Average order
ExcelPower QueryRetail
View case study →
13Sales Analytics
↗

Furniture Sales Performance

Why did sales and unit volume grow while profitability compressed?

$742KRevenue
+8%Revenue YoY
-57%Profit YoY
ExcelProfitabilityOperations
View case study →
14Retail Analytics
↗

Online Retail Store Analysis

How much headline revenue disappears through returns and cancellations?

£13.2MRevenue
540K+Transactions
6.78%Loss rate
ExcelRevenue LeakageRetail
View case study →
15Content Analytics
↗

Netflix Content Analytics

What does the Netflix catalogue reveal about content mix, audience focus and acquisition?

8,796Total titles
69.7%Movies
63.1%New releases
ExcelContent AnalyticsData Exploration
View case study →
The way I work

Follow the evidence.
Challenge the story.

A dashboard is the output, not the investigation. The work starts before the first visual is built.

01

Question

Define the problem, decision or hypothesis before touching the dataset.

02

Data

Identify the available evidence, its source, structure and limitations.

03

Analysis

Model, query and investigate the data to surface patterns and relationships.

04

Validation

Test the story, challenge assumptions and make uncertainty visible.

05

Decision

Translate evidence into clear findings, frameworks and next actions.

What I work across

Different questions
need different tools.

Financial questions, commercial questions and market questions do not always require the same lens. My toolkit lets me move between them.

01

Financial Analytics

Financial performance, valuation, market structure, cycle analysis and investment research.

Valuation · Market research · Financial modelling
02

Business Intelligence

Decision-ready reporting through dimensional models, KPIs, DAX and analytical dashboards.

Power BI · DAX · Power Query · Excel
03

Data & Research

Structured analysis from raw data through SQL, PostgreSQL, validation and research synthesis.

SQL · PostgreSQL · Data modelling · Research
Professional experience

The work tells you
more than the title.

My experience sits across analytics and research, with each role adding another way of thinking about evidence, performance and decisions.

May 2026 → Present · Financial & Data Analytics

AMDARI

Analytical work spanning financial analysis, business intelligence, SQL, data modelling, commercial performance, customer behaviour, pricing and research-driven decision support.

Jun 2026 → Aug 2026 · Data Analytics

AnalystLab Africa

Applied analytics work across structured datasets, dashboard development, SQL analysis and business-focused problem solving as part of the AnalystLab Africa Data Analytics Internship Program.

2018 → Present · Independent Market Research

Digital Asset & Market Analysis

Years of independent research across cryptocurrency markets, market structure and digital assets, including public market analysis, technical research, educational content and community-led research.

Ibraheem Ibraheem
IBRAHEEM IBRAHEEM · ANALYTICS & RESEARCH
About Ibraheem

I became interested in markets by asking a simple question: what is actually happening underneath the price?

That question still shapes how I work. I am a Financial & Market Analyst focused on Business Intelligence, Data Analytics and Research — using data to move from a headline number to the evidence behind it.

I build analytical solutions for performance, valuation and decision-making, combining Power BI, DAX, Power Query, PostgreSQL, SQL and Excel with a research mindset shaped by years of studying financial markets and digital assets.

01Financial AnalyticsPerformance · valuation · markets
02Business IntelligenceModels · KPIs · decision support
03ResearchQuestions · evidence · validation
— Ibraheem Ibraheem
Let's work

Have a question that deserves more than a surface-level answer?

I'm interested in work where the question matters as much as the dashboard — financial analytics, business intelligence, market research and data-driven decision support.