Damilola Oshungbohun

I turn complex data into decisions that matter. With a Master's in Business Analytics and a background in finance and accounting, I bring unique skills. I understand the numbers and the business behind them.

Data Analyst

PROJECTS

I turn complex data into decisions that matter. With a Master's in Business Analytics and a background in finance and accounting, I bring unique skills. I understand the numbers and the business behind them.

ABOUT ME

Proficiencies

Python

Used for data cleaning, exploratory analysis, and predictive modelling, including building models on 10,000+ data points to forecast customer behaviour and business trends.

SQL

Wrote complex queries and joins to extract, merge, and analyze data across multiple sources, supporting investigations and data-driven decision making.

Tableau

Designed and delivered executive dashboards that visualized KPIs, customer investment behaviour, and operational performance for senior leadership.

Microsoft Excel

Built advanced reconciliation models, pivot tables, and tracking tools that reduced manual reporting effort by up to 30% across finance and operations teams.

Certifications

Certified Business Analysis Professional (CBAP)

IIBA

Issued January 2026

Advanced certification in business analysis and data-driven decision frameworks.

Microsoft Powerup Program

Microsoft

Issued July 2023

Business intelligence and reporting with Power BI and other Microsoft tools.

Google Data Analytics Certificate

Google

Issued February 2022

Data cleaning, analysis, and visualization across real-world scenarios.

Verification

Projects

Real-world datasets. Documented analysis. Business-focused insights.

Telco Customer Churn Analysis

End-to-end data science project analysing customer cancellation behaviour across 7,000+ telecom subscribers. Combined exploratory analysis, statistical validation, and four competing machine learning models with advanced techniques including survival analysis and cohort retention curves -based driver profiling to produce a prioritized retention queue, ranking at-risk customers by projected revenue loss.

Aviation Satisfaction Analysis

Analyzed over 103,000 airline passenger records to uncover what truly drives customer satisfaction and what doesn't. Using Python for statistical analysis and machine learning, and Tableau for executive dashboarding, I translated raw survey data into a clear investment roadmap for airline management. The model achieved 96% predictive accuracy, with Wi-Fi quality and digital boarding emerging as the top two levers for improving passenger experience.

Churn Predictive Analysis

Tools: Python, Tableau

Satisfaction Predictive Analysis

Tools: Python, Tableau

View in Github

View in Tableau

Agricultural Crop Recommendation

Recomendation

Tools: Python, Tableau

Built a multi-class machine learning pipeline that analyses 7 soil and climate sensor readings to recommend the optimal crop from 22 possible types. A Random Forest classifier trained on 2,200 IoT sensor records achieved 99.55% test accuracy and 99.59% cross-validated accuracy across 10 folds, confirming the model generalises reliably to unseen data. Feature importance analysis revealed that rainfall and humidity are the dominant predictors, outweighing all soil nutrients combined.

View in Github

View in Tableau