Conduct lectures, addressed inquiries, crafts assignments & tests, evaluate submissions, and supervised examinations, developed and implemented an automated grading system for assignments and tests.COMP SCI 7210: Foundation of Computer Science A (Postgraduate)COMP SCI 7211: Foundation of Computer Science B (Postgraduate)COMP SCI 7318: Deep Learning Fundamentals (Postgraduate)COMP SCI 3317: Using Machine Learning Tools (Undergraduate)STATS 1005: Statistical Analysis and Modelling I (Undergraduate)

Project title: Business Analytics and Big DataAdvanced Sales Forecasting with Machine Learning and Data VisualizationProject Overview: Leveraged cutting-edge data science techniques to accurately predict future sales and uncover hidden patterns in large datasets, ultimately driving business growth.Successfully implemented supervised machine learning algorithms using Anaconda Jupyter Notebook, Python to forecast company sales with over 90% accuracy, enabling informed decision-making and strategic planning.Employed advanced analytical methods to identify and interpret patterns in vast datasets, revealing crucial business insights and opportunities.Utilized python’s robust data visualization capabilities to create a diverse range of insightful graphs, facilitating clear and effective communication of complex findings.Expertly synthesized data-driven insights and presented them through a compelling Microsoft PowerPoint presentation, contributing to an enhanced understanding of business performance and future prospects. Sucessfully worked in a team size of 3 with a healthy environment.Tech stack used: Python, R programming, Microsoft Excell, Microsoft PowerPoint, Visual Studio, Anaconda, Jupyter Notebook