About

Nada Saiyed is a highly skilled and experienced Machine Learning Developer at Arctic Wolf, specializing in building and deploying cloud-native data-centric solutions for business problems. With over 5 years of relevant experience, Nada is a proficient ML Engineer and Data Scientist, combining software engineering with Statistical Machine Learning and Data Mining techniques to collect and find complex data patterns in large datasets. Nada has extensive experience working with AWS, GCP, and Azure cloud environments to train both classical ML and deep learning models and develop scalable and robust web solutions with predictive capabilities. She is skilled in Statistical Data Analysis, Predictions, Forecasting, Reporting, and Data Management using Python/R, SQL, and Power BI/Tableau. Nada enjoys challenges, critical thinking, and working in a fast-paced environment, quickly adapting to different work environments and technologies. She has previously worked at Loblaw Companies Limited as a Data Scientist, specializing in Pricing Analytics - Markdown and Promo price optimization and recommendation, and as a Data Science Intern, specializing in Operation Analytics - Labour Overtime Optimization. Nada holds a Master's in Management Science (MMSc) from the University of Waterloo, specializing in Data Analytics, and a Bachelor of Technology (B.Tech.) in Computer Engineering from Dharamsinh Desai University. She also completed her high school education from Queen of Angel's Convent School. Nada's tech stack includes ML, Data Scientist, Research Scientist, SQL, AWS, Deep Learning, Python, Azure, GCP, and Web. With her expertise and experience, Nada is an asset to any team looking to build and deploy data-centric solutions.