Real-World Projects​

Here’s a curated glimpse into the kind of work I do.
Applying Technological skills with business thinking to generate measurable outcomes.
Each project combines practical technology with a clear purpose and results.

Digital Transformation Associate

Company: Pegasus Line (GCC-based Supply Chain)

Reduced reporting time by 40%
Improved supply chain performance by 20%
Boosted forecast accuracy by 25%
Tools Used: Python, Pandas, Scikit-learn, AWS, SQL
Digital and handwritten brainstorming tools on a wooden desk, ideal for business and study contexts.

AI Experiments & Prototypes (Ongoing)

Focus Areas: Self-initiated learning & experimentation

House price prediction using regression
Second Customer segmentation with clustering list here​
Sentiment analysis using NLP (TensorFlow + Scikit-learn)
Classification tasks with 85–92% accuracy
Goal: Strengthen practical skillset and apply theory to diverse domains (e.g., marketing, operations, product).
Vibrant 3D rendering depicting the complexity of neural networks.

Industry 4.0 Dissertation Research

Institute: University of Warwick
Title: Exploring the Impact of AI and Industry 4.0 on Automotive Manufacturing

16,000 words | 12+ case studies | 150+ sources
Focused on how AI, Cloud Computing big data, and automation can transform legacy supply chains and production
Highlights: Applied data science to over 10,000+ data points and built scenario frameworks for operational improvement.
A robotic dog oversees an automated car assembly in a high-tech factory setting.