David Obigbesan

I’m a Data Science graduate with internship experience as a Junior Data Analyst Intern, where I built strong momentum in data cleaning, exploratory analysis, and BI dashboard development. I focus on transforming raw datasets into reliable, decision-ready insights that help organizations move faster.

During my internship at KADA HIVE, I cleaned and transformed messy datasets to improve data quality and reporting accuracy. I developed interactive Power BI dashboards to enhance business visibility, and I wrote SQL queries to extract, analyze, and manage datasets, reducing manual reporting time.

One of my proudest outcomes was delivering interactive Power BI dashboards that supported management in making faster, data-driven business decisions. I also completed a full data cleaning and transformation workflow on real-world datasets, improving data reliability for reporting, and I used exploratory data analysis to uncover patterns aligned with key organizational objectives.

Through my projects, I strengthened my analytical depth across customer intelligence, academic performance insights, and healthcare trends. I performed RFM segmentation on 2,000+ customers (including identifying Lost customers at 336), built a 5-page Power BI dashboard with time intelligence measures, and used Python (Pandas, NumPy, Matplotlib, Seaborn) to derive actionable trends for policy and planning.