Turning Data into Intelligent Solutions with a Focus on Real-World Impact.
I hold an M.Sc. in Applied Artificial Intelligence and Data Analytics from the University of Bradford, with a background in Electrical and Electronic Engineering. My work focuses on applying artificial intelligence and data-driven methodologies to solve complex, real-world problems. I am particularly interested in machine learning, intelligent data systems, and the practical deployment of AI in impactful domains. I have experience analyzing real-world datasets, developing predictive models, and transforming data into actionable insights to support decision-making. My long-term goal is to advance applied AI research, with a strong interest in healthcare analytics, including AI-driven diagnosis, prognosis, and intelligent clinical decision support systems, along with broader applications in automation and intelligent systems.
Technologies and tools I use to build intelligent systems.
Peer-reviewed conference papers and research contributions.
A selection of my recent works in ML, Data Analysis, and Business Intelligence.
Predicted hourly bike-sharing demand using machine learning and time series features, enabling data-driven decision-making for urban mobility systems.
Classified solar flare intensity using machine learning to analyze patterns in space weather data.
Explored UK traffic accident data to uncover patterns influencing accident severity and road safety risks.
End-to-end multi-functional BI dashboard integrating finance, sales, and operations metrics.
Professional certifications and continuous learning.
Codebasics · 2024
Codebasics · 2024
Codebasics · 2024
Codebasics · 2024
Google · Coursera · 2023
Coursera · 2022
Open to AI & data roles, research collaborations, and new opportunities.
Domain/Function: Predictive Analytics
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