Applied Data Scientist and AI/ML Engineer focused on building production-ready machine learning systems. Experienced in developing and deploying models across NLP, computer vision, and generative AI, with a strong emphasis on scalability and real-world impact. Proficient in PyTorch, Scikit-learn, and AWS, with hands-on experience in MLOps, predictive modeling, and statistical analysis to drive data-informed decision-making.
Over the past four years, I have developed strong programming expertise across both imperative and declarative paradigms, working extensively with Python, R, and SQL to solve data-driven problems. My experience spans multiple industries including technology, finance, consulting, aviation, and healthcare where I have applied data science, statistical analysis, and machine learning techniques to real-world use cases.
Currently studying Computer Science and an active member of the National Association of Computing Students.
I am passionate about designing, training, and deploying intelligent AI and machine learning solutions that deliver meaningful business impact.
| 📦 Projects | 📜 Language | ⭐ Stars | 🔀 Forks | ℹ️ Issues | 📬 Pull requests |
| British Airways - flight booking drivers and premium lounge demand forecasting framework | |||||
| Lloyds Banking Group - project in progress | |||||
| Quantium - project in progress | |||||
| Deloitte - project in progress |


