Data Analyst  ·  ML Engineer Enthusiast  ·  Instructor

Idris
Oladejo

Building end-to-end predictive solutions, BI dashboards,
and data-driven tools that solve real-world business problems.

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01 — About

Who I Am

Idris Oladejo

I am Idris Oladejo, a Data Analyst and Machine Learning Engineer Enthusiast with hands-on experience building end-to-end predictive analytics solutions, business intelligence dashboards, and data-driven decision-support tools.

I specialize in Python (Pandas, NumPy, Scikit-learn) for data analysis and machine learning, with experience in supervised learning (regression and classification), model evaluation, and lightweight deployment using Streamlit.

I also leverage SQL, Power BI (DAX, Power Query), and Microsoft Excel to design robust data models, perform analysis, and build interactive dashboards. Additionally, I have working knowledge of R (ggplot2, dplyr, caret) and SPSS for statistical analysis.

As a Data Analysis Instructor, I design practical curricula, mentor aspiring analysts, and translate complex data insights into clear, actionable recommendations for both technical and non-technical audiences.

I am passionate about solving real-world business problems through data — combining analytical thinking, machine learning, and effective data storytelling.

6+
Projects
8
Skill Domains
E2E
ML Pipelines

What I've Built

Nova Retail Solutions Excel

Nova Retail Solutions

End-to-end retail performance analysis using Microsoft Excel — uncovering sales trends, product performance, and inventory insights for a retail business.

View on GitHub →
Logistics Database SQL Server

Logistics Company Database Design

Designed and implemented a robust relational database for a logistics company using SQL Server — covering shipments, routes, clients, and operational reporting.

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Python Sales Analysis Python

Data-Driven Sales Insights with Python

End-to-end Python analysis (Pandas, NumPy, Matplotlib) uncovering sales & profitability patterns across categories, customers, cities, and payment methods — with feature engineering and strategic business recommendations.

View on GitHub →
Restaurant Sales Analysis Power BI

Restaurant Sales & Order Analytics

Interactive Power BI dashboard delivering KPIs (Revenue $159K, 5,343 Orders, AOV $29.80), category performance, and Top/Bottom 10 item analysis via bookmarks — built to support menu optimization and revenue growth.

View on GitHub →
Pharmaceutical Sales Analysis Power BI

Pharmaceutical Sales Analysis

A Power BI dashboard providing deep insight into pharmaceutical sales performance — tracking products, regions, representatives, and revenue trends over time.

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E-commerce Sales Analysis Power BI

E-commerce Sales & Payment Analysis

Comprehensive Power BI report analysing e-commerce sales performance and payment workflows — surfacing bottlenecks, drop-offs, and revenue opportunities.

View on GitHub →


02.5 — Experience

Work History

Data Analyst
Dec 2024 – Apr 2025
Atria Analytics Limited  ·  Ibadan, Nigeria
  • Automated Power BI data transformation workflows, eliminating manual effort entirely and ensuring continuous data accuracy as new incident records were added.
  • Centralized Nigeria Civil Aviation Authority (NCAA) aircraft incident records into a comprehensive, automated Power BI dashboard — improving monitoring efficiency and executive decision-making.
  • Implemented dynamic filtering across 5 key dimensions (airline operator, manufacturer, month, flight phase, and classification), enabling rapid pattern discovery for stakeholders.
  • Integrated monthly trend analysis and forecasting features into the dashboard, enabling proactive aviation risk mitigation planning through 2030.
Data Analysis Instructor (Remote)
Jun 2024 – Present
VAA Global (E-Learning)  ·  Lagos, Nigeria
  • Developed and continuously refined a comprehensive data analysis curriculum for online learners, covering Excel, Power BI, SQL, and Python — keeping content aligned with evolving industry standards.
  • Facilitated virtual mentoring sessions, providing tailored support and breaking down complex data concepts to measurably improve student learning outcomes.
  • Produced engaging e-learning materials and dynamic online lectures demonstrating practical, industry-aligned data analysis applications across real-world datasets.

04 — Skills

Technical Expertise

Machine Learning

Supervised Learning (Regression & Classification)
Scikit-learn · StatsModels · OLS Regression
Random Forest · Logistic & Linear Regression
Cross-Validation & Hyperparameter Tuning
Feature Engineering & Model Evaluation

Data Science

Exploratory Data Analysis (EDA)
Data Preprocessing & Missing Value Imputation
One-Hot Encoding & Standard Scaling
Train-Test Split & Stratified Sampling
Pipeline Design (ColumnTransformer)

Programming

Python — Pandas, NumPy
Matplotlib & Seaborn
R — ggplot2, dplyr, tidyr, caret
Jupyter Notebook

Deployment

Streamlit Web App Development
Model Serialization & Serving
Predictive Decision-Support Tools

BI & Visualization

Power BI, DAX & Power Query
Power Pivot & Excel Dashboards
Interactive Reporting & KPI Development

Database & SQL

SQL Server
Relational Database Design & Normalization
Data Modeling

Statistical Analysis

SPSS & Statistical Significance Testing
OLS Regression & Correlation Analysis
Forecasting

Soft Skills

Analytical Thinking Data Storytelling Problem Solving Stakeholder Communication Curriculum Development Mentoring

05 — Contact

Let's Work Together

Interested in collaborating or have a data challenge?
I'd love to hear from you.

Whether you need a Power BI dashboard, an Excel-based model, a database architecture, or training for your team — let's talk.

Tools & Platforms

Python R SQL Server Power BI Desktop Microsoft Excel Jupyter Notebook Streamlit VS Code GitHub SPSS