Maria Rasheed

Background

About Maria Rasheed

I have a solid foundation in computational neuroscience, I bring a unique perspective to data engineering. With advanced skills in statistical analysis, machine learning, and neural network modeling, honed through extensive research and application in the field of neuroscience, I excel in deriving insights from complex datasets. My ability to simulate and model intricate biological systems has equipped me with a deep understanding of data analysis methodologies and a keen eye for patterns and trends. Leveraging this expertise, I develop innovative solutions to tackle data engineering challenges, optimizing data infrastructures and designing efficient data pipelines. Proficient in various programming languages and tools such as Python, SQL, and AWS, I seamlessly integrate computational neuroscience principles into my approach, driving data-driven decision-making and fostering innovation across domains. High level proficiency in scripting languages such as Matlab and R Proficient In vivo electrophoresis, EKG, knowledge of basic anatomy and physiology of cardiac and central nervous system. Experienced with various types of chromatography and mass spectrometry, genetic manipulation, mammalian cell culture, histology, microscopy, and DNA/RNA isolation.