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OreoluwaDaniel/README.md

Hi, I'm Daniel Olatunji

Data Analyst, Business Intelligence Consultant, and Automation Specialist passionate about helping businesses transform data into actionable insights and scalable operational systems.

I design data-driven solutions that enable leadership teams to make faster, smarter decisions by combining analytics, automation, and business intelligence. My work focuses on building enterprise-grade analytics frameworks, decision support systems, and intelligent automation solutions that improve operational efficiency, uncover growth opportunities, and reduce business risks.

I work across the intersection of:

  • Data Analytics
  • Business Intelligence & Decision Support
  • Workflow Automation
  • Revenue & Operations Analytics
  • Customer & Portfolio Intelligence
  • Process Optimization & Reporting Automation

What I Do

Data & Analytics

  • Advanced SQL for business analytics and reporting
  • Exploratory Data Analysis (EDA) using Python and R
  • Statistical and predictive analytics
  • Customer, revenue, and operational analytics
  • Portfolio risk and financial analytics
  • KPI development and business performance monitoring

Business Intelligence

  • Interactive dashboards using Power BI and Tableau
  • Executive-level reporting frameworks
  • Revenue, customer, and operational intelligence systems
  • Data storytelling and visualization
  • Decision support systems for business stakeholders

Automation & Operations

  • Workflow automation using Make, Zapier, GoHighLevel (GHL), and CRM platforms
  • Business process automation and optimization
  • CRM implementation and reporting automation
  • Low-code and no-code solutions for growing businesses
  • Operational analytics and intelligent workflow design

Areas of Focus

  • Revenue Intelligence
  • Customer Intelligence & Segmentation
  • Financial & Risk Analytics
  • Supply Chain & Operations Analytics
  • Churn & Retention Analytics
  • Portfolio & Performance Monitoring
  • Business Process Automation
  • Executive Decision Support Systems

Featured Projects

SME AI Readiness Framework

A business diagnostic framework designed to help SMEs assess their readiness for AI adoption across operations, people, processes, and technology.

Focus Areas

  • AI Readiness Assessment
  • Business Process Evaluation
  • Operational Intelligence
  • Strategic Recommendations

Customer Segmentation Intelligence Framework

Built using clustering techniques to identify meaningful customer segments based on demographic and behavioral characteristics, enabling more targeted business and marketing strategies.

Focus Areas

  • Customer Analytics
  • Behavioral Segmentation
  • Data-Driven Marketing
  • Business Intelligence

Market Basket Intelligence Framework

An association analysis project designed to uncover purchasing patterns, cross-selling opportunities, and product relationships that support revenue growth initiatives.

Focus Areas

  • Association Rule Mining
  • Product Intelligence
  • Revenue Optimization
  • Customer Purchase Behavior

Supply Chain Intelligence Framework

A supply chain analytics project focused on monitoring supplier performance, operational efficiency, and revenue-related metrics to support strategic decision-making.

Focus Areas

  • Supply Chain Analytics
  • Performance Monitoring
  • Operational Intelligence
  • Revenue & Cost Analysis

Technical Skills

Category Technologies
Programming SQL, Python, R
Data Analytics Pandas, NumPy, Statistical Analysis
Business Intelligence Power BI, Tableau
Data Visualization Matplotlib, Seaborn
Automation Make, Zapier, GoHighLevel (GHL)
CRM & Operations CRM Reporting & Workflow Automation
Analytics Domains Revenue, Customer, Financial, Risk, Operations & Supply Chain Analytics

My Approach

I believe analytics should do more than describe what happened—it should help businesses understand why it happened, what is likely to happen next, and what actions should be taken as a result.

Whether I'm building a revenue intelligence framework, a customer health monitoring system, or an automated reporting workflow, my focus remains the same:

Turning data into business intelligence that drives measurable outcomes.


Writing

I regularly write about:

  • Data Analytics
  • Business Intelligence
  • Data Storytelling
  • Automation
  • Decision Support Systems
  • Business Intelligence Frameworks

Medium: https://medium.com/@oluwafikayore


Let's Connect

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  1. Customer-Segmentation Customer-Segmentation Public

    Customer segmentation using K-Means clustering to support targeted marketing and product strategy.

    Jupyter Notebook

  2. Falcon-9-Landing-Prediction-EDA Falcon-9-Landing-Prediction-EDA Public

    Exploratory data analysis on SpaceX Falcon 9 launches to identify factors behind first-stage landing success.

    Jupyter Notebook

  3. Market-Basket-Analysis Market-Basket-Analysis Public

    Association rule mining on retail transaction data to uncover cross-sell and bundling opportunities.

    Jupyter Notebook

  4. sme-ai-readiness-checklist sme-ai-readiness-checklist Public

    Free diagnostic framework and downloadable PDF to help SME leaders assess AI readiness across three operational layers.

    Python

  5. SpaceX-Wrangling SpaceX-Wrangling Public

    Data wrangling and label preparation for a SpaceX Falcon 9 landing-outcome prediction model.

    Jupyter Notebook

  6. Supply-Chain Supply-Chain Public

    Supply chain analytics in R covering revenue, cost, supplier performance, and quality control.

    R