ADETUNJI SAMUEL

Analyzed subscriber trends, service performance metrics, and compliance logs within Nigeria's telecommunications regulatory framework, identifying critical market anomalies and informing strategic interventions.

Designed and deployed interactive Power BI dashboards using advanced DAX measures to track key industry KPIs and visualize Service Level Agreement (SLA) breach rates, enhancing regulatory oversight.

Performed regular data cleaning, processing, and validation pipelines using Python (Pandas), ensuring high data integrity for quarterly regulatory reports and improving data reliability.

Translated complex data insights into concise, non-technical presentations and reports for senior management and cross-functional stakeholders, facilitating informed decision-making.

Engineered, trained, and rigorously evaluated predictive machine learning models (classification, regression) using Python and Scikit-Learn, successfully solving complex real-world industry problems.

Optimized data preprocessing workflows by expertly handling missing values, encoding categorical variables, and executing advanced feature engineering on high-dimensional datasets, improving model performance.

Collaborated effectively within agile teams to analyze diverse datasets, delivering final projects that visualized key findings using Seaborn and Matplotlib, and enhancing data-driven insights.

Supported comprehensive auditing of telecommunications industry data, ensuring adherence to national policy and enforcement frameworks.

Assisted in collecting and cross-referencing operator performance metrics, significantly reducing data ingestion discrepancies during monthly reviews.

Gained deep structural knowledge of the telecom regulatory landscape, including policy formulation and the impact of data-driven enforcement strategies, enhancing analytical capabilities.