Business Analyst · Financial Data Analyst · ML Modelling

Welcome to
My Data
Portfolio

Oyewole Jeremiah
↳ View my work
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01 — About Me

Turning raw
data into insight

5+
End-to-End Projects
6+
Core Tools Mastered
ML
Predictive Modelling
BI
Visual Analytics

I'm a Data Analyst specializing in analysing business data and building machine learning models. I work with data to find patterns, build models, and translate findings into decisions that matter to the business.

My process is straightforward — understand the problem, clean and explore the data, build what's needed, and communicate results clearly.

I'm always expanding my technical skill set and taking on projects that challenge me to think deeper and deliver better.

If my work aligns with what you're looking for, let's work together.

Get in touch →

02 — Toolkit

The tools I work with

XLS
Excel
Power BI
SQL
Tableau
Python
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch

03 — Technical Skills

What I bring to the table

Data & Analysis

Data Wrangling & EDA
SQL & Database Querying
Statistical Analysis
Data Manipulation & Cleaning
Clear Communication of Insights

Machine Learning & Deployment

Predictive Modelling (ML)
Feature Engineering
Data Visualization
Model Deployment

04 — Projects

Work that solves real problems

HR Dashboard
Score Employee
Batch Scoring
01
ML + BI

Employee Flight Risk Analysis & Prediction

Analysed employee data and built a predictive model to identify employees at risk of leaving — enabling HR teams to intervene proactively before resignations occur.

PythonSQLXGBoostScikit-learnPower BIStreamlit
View on GitHub →
Churn Dashboard
Prediction Dashboard
Streamlit Single
Streamlit Batch
02
End-to-End

Customer Churn Analysis & Prediction

End-to-end analytics across 64,374 customers combining Power BI dashboards with an XGBoost model. Live Streamlit app supporting individual and bulk CSV batch scoring.

PythonSQLXGBoostRandom ForestPower BIStreamlit
View on GitHub →
Furniture Dashboard
Profit Predictor
03
Business Intelligence

Furniture Business Analysis & Profit Predictor

A retail company with $739K revenue kept just $18.6K profit (2.52% margin). Uncovered root causes and deployed an ML model that predicts order profitability before processing.

SQLPower BIPythonXGBoostPandasStreamlit
View on GitHub →
Sales Dashboard
Customer Dashboard
Operational Dashboard
Recommendation App
04
BI + ML

E-commerce Sales Analysis & Recommendation System

Full BI solution across 17,049 transactions and 5,000 customers. Covers sales performance, customer behaviour, and operational efficiency — plus a live ML-powered Product Recommendation System.

Power BISQLPythonScikit-learnPandasStreamlit
View on GitHub →
SQL Project Part 1
SQL Project Part 2
05
SQL

Superstore Sales Performance Analysis — SQL Project

Full end-to-end SQL analysis of 896 retail store locations inside Microsoft SQL Server — covering database creation, data cleaning, exploratory analysis, advanced querying, and BI reporting. Goal: identify what separates high-performing stores from low-performing ones.

Microsoft SQL ServerSQLData CleaningEDABusiness Intelligence
View on GitHub →
A/B Test Dashboard
06
Statistics + BI

A/B Test Analysis — E-Commerce Conversion Optimization

Analysed an A/B test across 294,478 users to determine whether a new webpage increased conversions. Used statistical hypothesis testing to deliver a clear, evidence-based recommendation: implement the new page, keep the old one, or run the experiment longer.

PythonPandasNumPyStatsmodelsPower BI
View on GitHub →

05 — Let's Work Together

Have a problem
worth solving?

Whether you need predictive models, interactive dashboards, data-driven insights, or a full end-to-end analytics solution — I'm open to freelance projects, collaborations, and opportunities.

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