Aglonu

Data Scientist @Takeo.Ai

NY, US

Developed a churn prediction model that accurately identified at-risk students, reducing churn rates by 25% through timely engagement and intervention strategies• Designed and implemented machine learning models that improved student performance predictions by 20%, enabling targeted interventions• Analyzed user engagement data, leading to a 15% increase in retention rates through tailored learning paths based on student behavior• Conducted A/B tests on course content, resulting in a 25% increase in course completion rates and a 30% boost in user satisfaction scores• Worked with product and engineering teams to integrate data-driven features, which contributed to a 10% rise in overall platform usage• Created interactive dashboards for tracking key performance indicators, enabling stakeholders to make informed decisions that improved operational efficiency by 15%• Developed NLP algorithms to analyze student feedback, identifying key areas for improvement that led to a 20% increase in positive feedback

Youngstown State University

Masters, MCI Computing and Information Systems