Industry Experience

Driven by a passion for bridging theoretical logic with real-world application, my journey began with a BSc in Mathematics (Pure and Applied) and evolved through a proactive two-year period during the pandemic where I home-tutored students and intensively upskilled in computational tools. This foundation paved the way for an MSc in Engineering Mathematics a rigorous multidisciplinary program encompassing advanced math, statistics, machine learning, and data science culminating in a major project focused on Air Quality Prediction using ML and DL algorithms. I seamlessly translated this academic expertise into industry success through a Software Internship at Rises Analytics AI and a subsequent role as a Data Scientist at Solar Secure Solutions, gaining deep practical experience in both predictive modelling and scalable AI solutions. Today, I leverage this unique blend of cutting-edge industry experience and theoretical rigor in academia, serving as a Visiting Professor across three colleges where I teach a wide range of subjects in both Mathematics and Data Science to inspire the next generation of analytical thinkers.