Anonymous

Details

Skills

Quantitative Methods Teaching: Expertise in designing and delivering quantitative research modules for postgraduate students, including statistical analysis, data interpretation, and achieving learning outcomes in education contexts. Dissertation Supervision and Personal Tutoring: Supervising MA-level dissertations with formative/summative assessments, providing detailed feedback, and offering tailored academic and mental health support to resolve student issues and promote well-being. Curriculum and Resource Development: Creating engaging teaching materials and updating resources on virtual learning environments (e.g., Moodle equivalents) to support diverse international cohorts and enhance postgraduate learning needs. Programming and Data Analysis: Proficient in Python (Pandas, NumPy), SQL databases, R, Power BI, and Tableau for data preprocessing, visualization, and AI-driven insights, with applications in education and research. AI and Machine Learning: Developing and teaching AI models (e.g., YOLO3, Cycle GAN) for real-world projects, including ongoing research on AI applications in medical contexts to optimize systems and inform educational practices. Research and Scholarship: Conducting quantitative research in data science, achieving metrics like 92% model accuracy and 12.96% system efficiency improvements, with a focus on transferring industry skills to higher education. Inclusive and Student-Centered Pedagogy: Embedding inclusive teaching approaches, employability skills, and cross-cultural awareness for postgraduate students, while pursuing Fellowship of Advance HE (in progress) for continuous professional development. Assessment and Evaluation: Leading module evaluations, monitoring student progress, and using feedback to improve provision, ensuring alignment with quality policies in MA Education programs. Technical Tools and IT Proficiency: Advanced skills in Excel, Word, PowerPoint, Outlook, cloud computing (AWS), and virtual learning environments, adaptable for blended and online postgraduate delivery. Soft Skills for Education: Excellent interpersonal communication, presentation, and problem-solving abilities, with experience in mental health roles to support student resilience and academic success in diverse settings.

About

Dedicated Data Science Educator with a Master's in Data Science and Bachelor's in Computer Science, seeking Lecturer (Teaching) roles in higher education focused on MA Education programs, quantitative methods, and postgraduate student development. With over two years as a Graduate Teaching Assistant at London South Bank University, I have designed and delivered quantitative methods teaching for undergraduate and postgraduate modules, incorporating tools like Python, SQL, R, Power BI, and Tableau to achieve learning outcomes in data analysis and research. Key achievements include supervising 10 deep learning dissertation projects, resulting in a 15% average improvement in student performance metrics, and acting as personal tutor to 20+ MA-level students, providing formative assessments, feedback, tailored support, and mental health guidance to address and resolve student issues, fostering academic growth and well-being. In complementary roles as Data Analyst at Brunel University London and Data Science Researcher at LSBU, I preprocessed large datasets, developed AI models (e.g., YOLO3 achieving 92% accuracy), and optimized systems by 12.96%, honing skills in quantitative research applicable to education contexts currently extending this through ongoing research on AI applications in medical projects. Proficient in virtual learning environments (e.g., Moodle equivalents), I excel in creating engaging resources, leading modules, and embedding inclusive teaching approaches for diverse international cohorts, while pursuing Fellowship of Advance HE to further enhance my pedagogical expertise. Eager to contribute to UCL IOE's innovative MA Education program by enhancing dissertation supervision and quantitative methods provision for outstanding student experiences.