PROFILE SUMMARY

Rehan Naveed Abbasi is a results-driven Senior Data Scientist with extensive experience in transforming complex datasets into actionable insights that drive strategic decision-making. He is highly skilled in Python, SQL, machine learning, deep learning, ETL pipeline development, AI integration, and automation. Rehan has worked with a wide range of data technologies, including MySQL, NoSQL, Vector Databases, and cloud-based solutions, and is proficient in developing dynamic dashboards using Power BI. He also brings advanced expertise in Large Language Models (LLMs), OpenAI APIs, and Retrieval-Augmented Generation (RAG) architectures to build intelligent, scalable AI systems.

In addition to his industry experience, Rehan has over 2 years of teaching experience at Shifa Tameer-e-Millat University, where he has taught courses related to data science, machine learning, and computational technologies. His teaching role involved mentoring students, supervising academic projects, and bridging theoretical knowledge with real-world applications further enhancing his ability to translate complex concepts into practical solutions.

RESEARCH AREAS / INTERESTS

1. LLMs and RAGs
   2. MCPs
   3. CV and NLP