Dagogo Orifama

Lead the design and development of an AI-driven transcription platform, integrating speech-to-text models and workflow automation to improve accuracy and turnaround times. Conduct requirements analysis with academic and industry stakeholders to define system specifications, MVP features, and integration with existing transcription workflows. Oversee end-to-end software development including architecture design, data pipeline creation, model evaluation, and deployment planning. Collaborate with company staff to introduce human-AI hybrid services, ensuring seamless user adoption through training, documentation, and iterative feedback loops. Manage project timelines, reporting, and deliverables under the Knowledge Transfer Partnership framework, aligning outputs with commercial and academic objectives.

Assisted in delivering lectures and tutorials for undergraduate and postgraduate data science courses, providing support in data analysis, machine learning, and programming. Guided students through complex data science concepts, helping them with practical assignments and ensuring their understanding of Python, R, and SQL. Supported academic staff in grading assignments, exams, and projects, while providing constructive feedback to students for improvement. Conducted small group workshops on data visualization, statistical analysis, and coding best practices to enhance students' practical skills. Collaborated with faculty to develop course materials, including lecture slides, hands-on lab exercises, and assessments, to ensure alignment with learning objectives.

Designed and developed a comprehensive, user-friendly database system for managing all aspects of the business. Performed Extraction, Transformation, and Loading (ETL) processes for a well-structured data warehouse using SSIS, Azure Data Factory and Azure Databricks Migrated 50+ SQL Server database objects to the cloud, reducing development time by 10%. Implemented advanced data analysis functionality and reporting capabilities to improve day-to-day efficiency. Ensured data accuracy and integrity, leading to a 95% reduction in data errors. Conducted training sessions to educate users on database functions and ensure effective utilisation