Emmanuel Bamidele Oni

Emmanuel Bamidele Oni

Data Scientist & Analyst | Transforming Data into Real-World Solutions

A statistician by foundation with 3+ years of experience building scalable Ai products and actionable insights.

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About Me

With a B.Tech in Statistics from FUT Minna and over three years of hands-on experience, I specialize in the full data lifecycleβ€”from extracting and cleaning data with SQL to building interactive dashboards in Power BI and deploying predictive machine learning models with Python. My passion lies in leveraging data to not just answer questions, but to solve critical business challenges and drive strategic decisions. I am proficient in both business analysis and advanced data science, allowing me to effectively communicate findings to both technical and non-technical stakeholders.

Technical Skills

Data Analysis & Visualization

SQL

SQL

Power BI

Power BI

Excel

Advanced Excel

Machine Learning & Programming

Python

Python

Pandas

Pandas

Scikit-learn

Scikit-learn

NumPy

NumPy

Matplotlib

Matplotlib

Seaborn

Seaborn

Certifications

πŸ†

ALX AI Prompting Engineering Certificate

View Certificate β†’

ALX Africa

πŸ“Š

Google Data Analytics Professional Certificate

View Certificate β†’

Google / Coursera

πŸ€–

Machine Learning with Python

View Certificate β†’

DataCamp

Featured Projects

Coffee Sales Analysis

Coffee Sales Performance Analysis

Conducted a comprehensive analysis of coffee sales data using advanced Excel. Created pivot tables, dashboards, and charts to identify top-selling products, seasonal trends, and regional performance, providing actionable insights for inventory and marketing strategy.

Excel Pivot Tables VLOOKUP Power Query
Heart Disease Prediction

Heart Disease Prediction Model

Developed a machine learning classification model to predict the likelihood of heart disease in patients. The model, built with Scikit-learn, achieves high accuracy and can be used as a tool for early diagnosis and preventive healthcare.

Python Scikit-learn Pandas Jupyter Notebook
Insurance Claims

Lagos Housing Insurance Claim Prediction

Built a predictive model to estimate insurance claim amounts for housing in Lagos. This project involved extensive data cleaning, feature engineering, and regression modeling to help the insurance company better price their policies and manage risk.

Python Pandas Scikit-learn Matplotlib
HR Dashboard

HR Analytics Power BI Dashboard

Designed and developed an interactive Power BI dashboard to visualize key HR metrics, including employee turnover, departmental performance, and recruitment channels. The dashboard provided management with real-time insights to improve workforce planning and employee retention.

Power BI DAX Data Modeling