MUSA ALHAJI SHITU

Assisted in teaching Systemic Histology, Systemic Embryology, and Data Analysis to undergraduate cohorts, ensuring comprehensive understanding of core concepts.

Conducted tutorials, marked assignments, supervised laboratory sessions, and invigilated examinations, streamlining academic processes and student assessment.

Trained students in data analysis, academic project methodology, and cadaver dissection; mentored a student team that won "Best Project of the Year."

Maintained impressive student pass rates of 78–94% and achieved a high teaching evaluation score of 4.77/5.00, reflecting effective pedagogical methods.

Designed and delivered engaging anatomy lectures and practical laboratory sessions for health sciences undergraduates, fostering deep understanding of complex anatomical concepts.

Developed and implemented robust Monitoring & Evaluation (M&E) frameworks to track student learning outcomes, effectively identifying performance gaps and informing targeted instructional adjustments.

Provided individualized academic feedback and guidance, contributing directly to improved student progression and success rates within the health sciences curriculum.

Developed and implemented interactive Power BI and Tableau dashboards, enabling real-time monitoring of key performance indicators (KPIs) and identification of critical business trends.

Enhanced Python proficiency (pandas, NumPy) and advanced Excel analytical skills, applying them to extract insights from multiple complex real-world datasets.

Presented data-driven recommendations to cross-functional management teams, contributing to informed decision-making and strategic planning.

Designed and implemented robust data analysis pipelines utilizing Excel, Tableau, and Google Looker Studio, enhancing data processing efficiency and reporting capabilities.

Produced interactive dashboards and comprehensive stakeholder-facing reports, clearly communicating complex analytical findings and insights.

Applied rigorous data quality assurance standards and results-based reporting frameworks across all analytical outputs, ensuring accuracy and reliability.

Designed research instruments and managed data collection from 80+ pulmonary TB outpatients, capturing treatment adherence rates, patient outcomes, and healthcare provider practices.

Conducted rigorous quantitative analysis using Excel and SPSS to identify critical barriers and facilitators impacting effective TB service delivery in a resource-limited hospital setting.

Synthesized complex research findings into a structured evidence report with actionable recommendations, directly influencing clinic management for program improvement initiatives.

Applied rigorous ethical research standards, including informed consent and data anonymization, to ensure participant confidentiality and data integrity throughout the study.