Hazem Refaat Email & Phone Number

New Cairo, Cairo, Egypt

Collaborating closely with business stakeholders to understand their challenges and areas for process improvement.Analyzing complex business processes and identifying opportunities to implement digital solutions.Proposing data-driven strategies and automation solutions to streamline workflows and improve overall efficiency.Contributing to the initiatives to integrate advanced technologies, such as data analytics and machine learning, into core banking operations.Ensuring that digital transformation aligns with both short-term goals and long-term strategic objectives

Alexandria, Egypt

Delivered tailored machine learning and data science solutions for diverse clients across various industries.Designed and developed end-to-end machine learning pipelines, from data collection and preprocessing to model deployment.Performed comprehensive data analysis, and developed customized solutions to address unique challenges.Utilized a wide range of machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn.Worked extensively with frameworks such as LangChain and LlamaIndex for advanced model development and integration.Leveraged pre-trained models from various sources, including GitHub and Hugging Face, to accelerate project timelines and enhance model performance.

Riyadh, Saudi Arabia

Utilized AI and large language models to address challenges in the finance sector.Conducted research to develop innovative solutions for problems in finance using AI technologies.Collaborated with domain experts in finance to understand and address their specific challenges.Actively listen to the problems faced by finance professionals and tailor solutions to their needs.Stay updated on advancements and trends in the world of large language models and AI.Bridged the gap between cutting-edge technology and real-world finance applications.

Alexandria, Egypt

Conducted comprehensive data analysis to identify key business trends and insights.Developed and implemented machine learning models to predict future revenue.Utilized advanced statistical techniques to clean, process, and analyze datasets.Created data visualizations to communicate findings to stakeholders and support decision-making processes.Continuously monitored and fine-tuned models to enhance performance and reliability.