Fortune Amombo

Data Scientist with expertise in end-to-end machine learning and data analytics projects. Proficient in exploratory data analysis, data cleaning and preparation, and building classification and regression models using Python and SQL. Skilled in presenting data-driven insights to stakeholders and driving strategic decision-making. Committed to leveraging data to deliver actionable solutions and contribute to business success.

Pathways International | Data Scientist                                                                                                Jun 2019 – May 2021

Key Responsibilities:

• Collected, cleaned, and transformed data from various sources to support business needs
• Created and maintained reports and dashboards to track KPIs and monitor business performance
• Analyzed and interpreted data to provide insights and recommendations for process improvement
• Collaborated with cross-functional teams to develop and implement data-driven solutions
• Designed and build predictive models to support business decision-making
• Communicated data-driven insights to stakeholders at all levels of the organization

Achievements:

• Developed and implemented a customer segmentation strategy that resulted in a 15% increase in customer retention.
• Developed a predictive model to identify potential customer churn, resulting in a 20% decrease in churn rate.

Implemented a predictive analytics model that accurately forecasted customer demand, resulting in a 20% reduction in excess

The University of Birmingham | Postgraduate Diploma in Artificial Intelligence and Machine Learning             Sept 2021 – Sept 2022

• Relevant Coursework: Mathematical Foundations for Artificial Intelligence and Machine Learning, Machine Learning and Intelligent Data Analysis, Data Visualization, Computer Vision
• Research Project: Built a pothole classification system using TensorFlow and Keras

Strathmore University | Bachelor of Science in Telecommunications                                                            Apr 2015 - Dec 2018