Muhammad Talha Usman Email and Phone Number

In my role as a Data Engineer, I excel in organizing and cleaning data through ETL pipelines to reveal insightful patterns and trends, driving informed decisions and opportunities for improvement. Meanwhile, as a Data Scientist, I leverage predictive modeling and machine learning techniques to make accurate predictions based on historical data, facilitating data-driven decision-making and strategic planning. Additionally, I have a strong background as a backend developer, specializing in creating APIs that facilitate seamless communication between various educational systems, such as Canvas, Brightspace, and Blackboard, using the Learning Tool Interoperability (LTI) standard.

As a Research Assistant at the Smiles Lab, I contributed to cutting-edge projects focused on enhancing video authenticity detection methodologies. I collaborated on combining Efficient-Net architecture with Vision Transformer techniques to develop advanced algorithms for detecting deep fake videos, Also I was involved in exploring the integration of heart rate features with Random Forest algorithms to further enhance the detection capabilities for deep fake videos.