Isiaka Oloyede

I am an innovative, results-oriented data scientist with over 10 years of hands-on experience in machine learning, statistical modeling, and data analysis. I combine strong theoretical grounding in statistics and economics with practical skills in Python, R, SQL, and cloud platforms to deliver measurable business outcomes.

I have designed and implemented machine learning models that reduced customer churn and built end-to-end data pipelines on AWS, automating preprocessing, training, and deployment. My work includes applied NLP to analyze customer feedback and computer vision and deep learning projects that improved product features and user satisfaction.

I create interactive dashboards and visualizations with Tableau, Matplotlib, and Seaborn to present complex results clearly to stakeholders, and I perform rigorous statistical testing and A/B experiments to validate models. I have experience improving forecasting accuracy through time series analysis and building predictive models for sales and inventory planning.

I collaborate effectively with cross-functional teams to integrate predictive analytics into operations, achieving efficiency gains, and I am proficient with big-data and ETL technologies including Spark, Airflow, dbt, Snowflake, and AWS services such as S3, Glue, SageMaker, and CloudWatch.