Guided students in data cleaning, analysis, and visualization using Python (Pandas, NumPy) for coursework projects. Assessed machine learning and statistical models, giving feedback to strengthen data-driven problem-solving skills.

Led comprehensive data processing, and analytical modelling, transforming raw data into structured formats using Python’s NumPy library, identifying key insights and presented findings resulting in a 10% enhancement in KPIs. Leveraged AWS cloud services to optimize data storage and ELT data pipelines, resulting in a 30% reduction in infrastructure costs while maintaining high scalability and reliability for the data analytics platform. Designed dynamic dashboards in Tableau, using Git for version control, to effectively communicate key trends, facilitating data-driven decision-making and driving measurable improvements in business performance. Communicated findings and recommendations to stakeholders in a clear and concise manner, fostering understanding and enabling informed decision-making processes across departments within a collaborative Scrum team environment.