Building end-to-end predictive solutions, BI dashboards,
and data-driven tools that solve real-world business problems.
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.
End-to-end retail performance analysis using Microsoft Excel — uncovering sales trends, product performance, and inventory insights for a retail business.
View on GitHub →Designed and implemented a robust relational database for a logistics company using SQL Server — covering shipments, routes, clients, and operational reporting.
View on GitHub →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 →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 →A Power BI dashboard providing deep insight into pharmaceutical sales performance — tracking products, regions, representatives, and revenue trends over time.
View on GitHub →Comprehensive Power BI report analysing e-commerce sales performance and payment workflows — surfacing bottlenecks, drop-offs, and revenue opportunities.
View on GitHub →Whether you need a Power BI dashboard, an Excel-based model, a database architecture, or training for your team — let's talk.
Tools & Platforms