Results-driven engineer with over 20 years of industry experience spanning software development, intelligent networks, cloud infrastructure, and machine learning. Strong technical foundation in Python, cloud platforms (AWS), SQL, and Linux systems. Proven record of leading complex migrations, system integrations, and data-driven solutions in the telecommunications and IT sectors. Currently completing a Master's in Data Science with a focus on AI/ML.
Motivated and analytically driven postgraduate with two years of advanced academic training in Data Science and Business Analytics from Deakin University, Australia. Acquired in-depth expertise in machine learning, artificial intelligence, statistical modelling, predictive analytics, and data-driven decision-making. Developed and deployed multiple end-to-end data science projects involving data preprocessing, model building, and performance evaluation using Python, R, and industry-standard tools such as Scikit-learn and Tableau.
Proficient in deriving actionable insights from complex datasets and aligning them with business goals to support strategic decision-making. Skilled in working both independently and collaboratively in team-based academic environments, often simulating real-world industry challenges. Passionate about applying ML and AI to solve practical problems in areas such as finance, healthcare, and customer analytics.