nancy bou kamel

As a Data Scientist and Cloud Developer with over 3 years of experience, I build and deploy innovative, end-to-end solutions. My expertise lies at the intersection of complex data science, scalable cloud infrastructure, and robust software development. I am skilled in transforming intricate data challenges into tangible business value through effective model deployment and optimization. My journey began in cloud engineering, where I architected and deployed secure, real-time data processing workflows on AWS, cutting deployment times by 50% and boosting data handling efficiency by 40%. This foundation in building reliable systems seamlessly transitioned into deep diving into data science. As a Machine Learning Engineer, I've developed and deployed advanced deep learning models (Transformers, LSTMs) to forecast energy consumption with <2% MAPE, engineered noise-robust ASR command models achieving 95% accuracy on embedded devices, and significantly enhanced prediction accuracy through sophisticated optimization techniques. My work often involves large-scale data manipulation (10M+ rows), advanced NLP, and fine-tuning models like Whisper for superior performance. I'm adept with Python and Java, PyTorch, TensorFlow, Docker, Kubernetes, and CI/CD, always striving to deliver solutions that are not just effective but also scalable, efficient, and robust. My passion lies in transforming intricate data into actionable insights and tangible products, always focusing on driving measurable business impact. I'm eager to connect with opportunities where I can leverage my full spectrum of skills to solve challenging problems and contribute to cutting-edge advancements in AI, cloud, and software development.