HELLO👋,
I'M OPEYEMI.

Data analytics visual representing Opeyemi's analytical work

A Data and Business Intelligence Analyst who transforms complex data into clear, actionable insights that support better business decisions.

I use SQL, Python, Microsoft Excel, and Tableau to explore data, uncover patterns, measure performance, and communicate insights that support better business decisions.

A selection of projects where I've applied data analysis to real-world business questions — from understanding customer behaviour and market trends to evaluating performance and uncovering actionable insights.

Explore a few of my featured projects below, or dive into the full project portfolio to see the analysis, findings, and business recommendations behind each one.

Olist E-Commerce SQL Analysis project

OLIST E-COMMERCE ANALYSIS

SQL-driven analysis of e-commerce data to investigate revenue, customer behaviour, product performance, seller activity, and delivery trends.

SQL | E-Commerce | Business Analytics

View Project
Nigeria Commercial Banking Experience Analysis project

NIGERIA COMMERCIAL BANKING EXPERIENCE ANALYSIS

Analysis of customer-facing banking services, digital banking features, app ratings, USSD services, ATM availability, and other service indicators.

Excel | Banking | Customer Analytics

View Project
Sales Data Analysis project

SALES DATA ANALYSIS

An end-to-end retail sales analysis to uncover revenue trends, top-performing products, customer purchasing patterns, customer behaviour, and actionable business insights through interactive dashboards.

Python | Tableau | Sales Analytics

View Project
Opeyemi Peter

MY PROJECTS

A collection of analytical projects where I apply data cleaning, analysis, visualization, SQL, and business intelligence to solve practical problems and communicate meaningful insights.

SQL · DuckDB · DBeaver

Olist E-Commerce SQL Analysis

E-Commerce Analytics · SQL Analysis · Business Intelligence

An end-to-end SQL analysis of the Olist Brazilian e-commerce marketplace. The project examines interconnected customer, order, product, payment, review, delivery, and seller data to understand commercial and operational patterns.

The analysis covers data validation and relational integrity, customer and geographic behaviour, order fulfilment, delivery performance, product demand, payment behaviour, seller activity, and business-focused findings and recommendations. See more .

Data Validation · EDA · Business Insights View Full Project ↗
Microsoft Excel · Pivot Tables · Dashboard

Nigeria Commercial Banking Experience Analysis

Banking Analytics · Customer Experience · Business Intelligence

A Microsoft Excel business analysis project evaluating customer banking experience across 20 major Nigerian commercial banks using a custom Banking Experience Index (BEI).

The analysis combines digital banking performance, customer engagement, service affordability, accessibility, app ratings, reviews, downloads, USSD services, and other customer-facing indicators to compare overall banking experience. See more .

BEI · Customer Experience · Excel Analytics View Full Project ↗
Python · Excel · Tableau

Data Job Postings Analysis

Job Market Analytics · EDA · Tableau

An end-to-end analysis of data-related job postings designed to understand hiring demand across roles, companies, locations, and recruitment platforms.

The workflow involved cleaning and preparing a 975-record dataset with Python, validating and structuring the data with Excel, performing exploratory analysis, and communicating the findings through an interactive Tableau dashboard. See more .

975 Job Postings · EDA · Tableau View Full Project ↗
Python · Pandas · Matplotlib · Tableau

Sales Data Analysis

Sales Analytics · Revenue Analysis · Dashboard

A retail sales analytics project focused on understanding sales performance, product performance, regional trends, revenue, and profitability.

The project followed a structured workflow covering data cleaning, exploratory data analysis, visualization, dashboard development, and business recommendations. The analysis identified strong product and regional performance patterns that can support inventory, marketing, and profitability decisions. See more .

Retail Analytics · Revenue · Performance View Full Project ↗
Python · BeautifulSoup · Excel · Tableau

Job Market Analysis

Web Scraping · Job Market Analytics · Tableau

A job market analysis project built around collecting and analysing job posting data through web scraping.

Python Requests and BeautifulSoup were used to collect and organise job posting information, followed by data cleaning with Excel and dashboard development with Tableau. The analysis explored hiring patterns, job locations, companies with the highest posting volume, and the most in-demand roles. See more .

Web Scraping · EDA · Job Market Insights View Full Project ↗

More projects and analytical case studies will be added as I continue exploring new business problems and datasets.

PROFESSIONAL PROFILE

ABOUT

Data Analyst Business Intelligence

Opeyemi Peter Ismail

Profile

I'm Opeyemi Peter Ismail, a Data Analyst focused on transforming raw and complex datasets into clear, actionable insights that support better business decision-making.

My work involves data cleaning and validation, exploratory data analysis, relational data analysis, business analysis, dashboard development, and insight generation. I enjoy investigating data to identify patterns, understand performance, uncover opportunities, and communicate findings in a way that is clear to both technical and non-technical audiences.

I've been recognized for my commitment to continuous growth and development. My goal is not just to analyze data, but to help businesses make better decisions with it.

What I Bring

01

Data Analysis

Cleaning, validating, exploring, and interpreting datasets to uncover meaningful patterns and trends.

02

Business Insight

Connecting analytical findings to business questions, performance measurement, and actionable recommendations.

03

Data Visualization

Developing dashboards and visual reports that make important trends, KPIs, and findings easier to understand.

04

Analytical Communication

Communicating insights clearly so that analytical findings can be understood and used for better decisions.

Technical Toolkit

Analysis & Querying

SQL Python Microsoft Excel

Visualization & BI

Tableau Pivot Tables Pivot Charts

Python Libraries

Pandas NumPy Matplotlib BeautifulSoup Requests

Tools

Jupyter Notebook DuckDB DBeaver GitHub

Education & Professional Recognition

Bachelor of Science (B.Sc.), Computer Science

Federal University of Agriculture, Abeokuta, Nigeria (FUNAAB)

HP LIFE Ambassador

Earned the HP LIFE Ambassador Badge for promoting analytical courses and encouraging others to develop practical data analytics skills.

Certifications

Data Analytics Bootcamp

Class Central

Data Analytics Essentials

Cisco Networking Academy

Data Analytics Job Simulation

Forage

Data Science & Analytics

HP LIFE

Data Analyst Bootcamp 2026

Analyst Builder

Data → Insight → Better Decisions.

CONTACT ME

Have a project, opportunity, or idea you'd like to discuss? Send me a message and I'll get back to you.

OPEYEMI PETER

Thanks for stopping by. Whether you're here to collaborate or just curious, I appreciate the visit. You can as well connect with me through my professional and social platforms.