I am a MLOPs specialist and a data scientist at Bell. I apply my extensive knowledge and experience in machine learning, data pipelines, and programming to create and implement advanced solutions for various business challenges. I have been working in this role for over a year. I have successfully developed machine learning algorithms for electricity load prediction and price arbitrage and designed a seamless pipeline for end-to-end data integration in the AWS platform. In addition to my role at Bell, I am also a Data Instructor at EdX, where I have been teaching data science courses to students from different backgrounds and levels since April 2020. I am passionate about sharing my expertise and skills in data science, and I enjoy developing engaging and relevant content for online learning platforms. I have a solid educational background in computing and software engineering, data science, and leadership and management. I hold certificates from reputable institutions such as Coursera, Michigan State University, and IBM. I have also published two research papers on stroke detection and ICT implementation topics.