
Jan-2022 – June-2023, Cardiff, United Kingdom
Pursuing my Master’s degree in Data Science at Cardiff Metropolitan University was a transformative experience that significantly enhanced my scientific, analytical, and technical expertise. The program provided a robust foundation in technology management, data-driven decision-making, and advanced analytics, equipping me with the skills to tackle complex business challenges using data science and machine learning.
Key Areas of Focus
✅ Technology Management – Understanding the strategic role of technology in business transformation.
✅ Geospatial Analysis – Utilizing spatial data for insights and decision-making.
✅ Business Process & Data Analysis – Optimizing business performance through data-driven solutions.
✅ Social Media Analytics for Business – Extracting insights from online interactions to inform strategy.
✅ Information Security – Implementing security frameworks to protect digital assets.
MSc Dissertation: Holistic Approach to Customer Churn Analysis & Management
Research Focus
For my MSc dissertation, I conducted an in-depth study on customer churn analysis and management, aiming to develop a comprehensive, data-driven approach to predicting and mitigating customer attrition.

Research Objectives & Approach
- Customer Segmentation & Churn Classification – Implemented machine learning models to categorize customers into high-risk and low-risk churn groups.
- Predictive Analytics for Business – Applied statistical modelling and AI-driven insights to identify key churn factors.
- Strategic Retention Measures – Developed targeted customer engagement strategies to improve loyalty and reduce churn.
- Actionable Business Recommendations – Created data-driven solutions for businesses to enhance retention and optimize customer lifetime value.

The findings from this research have practical implications for businesses seeking to reduce churn, improve customer satisfaction, and optimize revenue generation strategies.
Key Takeaways & Future Vision
Studying at Cardiff Metropolitan University provided me with a strong foundation in data science, business intelligence, and predictive analytics. The experience reinforced my ability to:
✔ Leverage AI and data science to solve real-world business problems.
✔ Apply machine learning techniques for actionable business insights.
✔ Develop data-driven strategies to enhance customer engagement and retention.
✔ Utilize business intelligence tools to drive informed decision-making.
As I continue my journey in AI, Business Intelligence, and Digital Transformation, I remain dedicated to creating data-driven solutions that empower businesses to stay ahead in a competitive market.
Let’s connect and explore how data science and intelligent analytics can drive business success!

