Data Science professional with an MSc in Data Science and extensive experience delivering
end-to-end projects in healthcare and operational domains. Skilled in data analysis,
machine learning, NLP, database design, and…
Data Science professional with an MSc in Data Science and extensive experience delivering
end-to-end projects in healthcare and operational domains. Skilled in data analysis,
machine learning, NLP, database design, and project management, with a strong ability to
translate complex problems into actionable insights. Proficient in Python, SQL, and
associated data science libraries, combining technical execution with effective stakeholder
communication to deliver tangible business and operational value.
Supported data handling, documentation, reporting, and scheduling across multiple client accounts.
Managed structured and unstructured information with strong attention to detail and confidentiality.
Strengthened stakeholder communication and operational coordination in remote working environments.
Supported data handling, documentation, reporting, and scheduling across multiple client accounts, Managed structured and unstructured information with strong attention to detail and confidentiality, Strengthened stakeholder communication and operational coordination in remote working environments
Wrote and improved SQL queries to organise and analyse large datasets, including audience engagement and content performance.
Used NLP techniques to evaluate viewer comments, feedback, and messages to understand sentiment and engagement trends.
Automated reporting processes to track program performance, audience growth, and engagement metrics efficiently and accurately.
Wrote and improved SQL queries to organise and analyse large datasets, including audience engagement and content performance, Used NLP techniques to evaluate viewer comments, feedback, and messages to understand sentiment and engagement trends, Automated reporting processes to track program performance, audience growth, and engagement metrics efficiently and accurately
Maintained organised records, supported reporting activities, and managed operational data entry.
Acted as a key communication link between management, clients, and external stakeholders.
Maintained organised records, supported reporting activities, and managed operational data entry, Acted as a key communication link between management, clients, and external stakeholders
Participated in safety awareness and community engagement activities during national service.
Supported programmes focused on public safety, health, and risk awareness within the community.
Assisted in teaching Chemistry to secondary school students, supporting lesson delivery and classroom activities.
Helped improve student understanding through clear explanations and academic support.
Took part in community outreach programmes focused on drug abuse awareness and prevention.
Supported educational campaigns and public engagement initiatives in collaboration with NDLEA officers.
•Designed an NLP pipeline to extract insights from unstructured clinical notes using text preprocessing, Named Entity Recognition (NER), sentiment analysis, and topic modeling. • Applied BioBERT embeddings and machine learning classifiers (Random Forest, XGBoost) for patient sentiment prediction, achieving 92.6% accuracy with Random Forest. • Used SMOTE to address class imbalance, improving model performance and reliability. • Generated actionable insights to support Clinical Decision Support Systems (CDSS) for patient stratification and early risk identification.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
