Customer Churn Prediction Model (Teamwork)
Summary
Developed a machine learning model as a capstone project to predict customer churn, leveraging data analysis and predictive analytics techniques.
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Bachelor of Pharmacy (In-view)
A highly motivated 500-level Pharmacy student with a foundational understanding of healthcare systems, currently advancing expertise in AI/Machine Learning.
Customer Churn Prediction, Predictive Modeling, Data Analysis, Machine Learning Algorithms.
Pharmacy management software proficiency, Electronic prescription processing, Microsoft Office Suite (Word, Excel, PowerPoint), Data entry and report preparation, Inventory and dispensing systems management.
Prescription screening, interpretation, and dispensing, Drug information and pharmaceutical care services, Procurement and supply chain management, Inventory management and stock control, Pharmacy documentation and record keeping, Antibiotic stewardship and antimicrobial monitoring, Adverse drug reaction monitoring and reporting, Standard Operating Procedure (SOP) implementation, Medication error prevention and pharmacovigilance, Regulatory and quality assurance compliance, Clinical intervention and medication review, Interprofessional collaboration with healthcare teams.
Pharmaceutical microbiology techniques, Antimicrobial susceptibility testing, Compounding and extemporaneous preparation, Phytochemical screening and analysis, Research methodology and scientific writing, Data analysis and interpretation.
Good communication and interpersonal skills, Attention to detail, Problem-solving and critical thinking, Teamwork and collaboration, Time management and multitasking, Leadership and supervisory skills, Customer service and patient-centered care.
Issued By
Pharmacy Council of Nigeria
Issued By
Techcrush
Issued By
University of Maiduguri
Summary
Developed a machine learning model as a capstone project to predict customer churn, leveraging data analysis and predictive analytics techniques.