Margaret John
About Margaret John
Margaret John is a Data Scientist with a strong background in applied mathematics and experience in data analysis and machine learning. She has worked at various organizations, including AbbVie and the National Nuclear Security Administration, and currently holds a position at NovaScan.
Work at NovaScan
Margaret John has been employed at NovaScan as a Data Scientist since 2021. In this role, she utilizes her expertise in data analysis and machine learning to support various projects. Her responsibilities include developing data-driven solutions and enhancing data collection methodologies.
Previous Experience
Prior to her current position, Margaret John worked as a Data Analyst at AbbVie for seven months in 2021. She also served as a Summer Intern at the National Nuclear Security Administration (NNSA) from 2018 to 2019, and held a Corporate Operations Intern position at Ryerson for three months in 2018. Additionally, she worked as a Teaching Assistant at the University of Illinois at Chicago from 2019 to 2021.
Education and Expertise
Margaret John earned her Bachelor of Science in Applied Mathematics from the Illinois Institute of Technology, completing her studies from 2015 to 2019. She furthered her education by obtaining a Master's degree in Applied Mathematics from the University of Illinois at Chicago, where she studied from 2019 to 2021. Her academic background supports her proficiency in data science and analytics.
Technical Skills and Projects
Margaret John has developed custom User Interfaces for data collection in clinical trials using Python's Tkinter. She has designed and implemented data pipelines to clean, sort, and merge data from various sources using Python. Additionally, she has experience in developing classification algorithms utilizing machine learning and model-based approaches with libraries such as numpy, scipy, scikit-learn, and pandas. She has also created visualization tools using Tableau, Python, and R.