Omar Jahangir
About Omar Jahangir
Omar Jahangir is a Data Scientist at MindBridge since 2022, with a background in physics and data science. He has experience in anomaly detection algorithms and has worked at various institutions including Imperial College London and UCL.
Work at MindBridge AI
Omar Jahangir has been employed as a Data Scientist at MindBridge since 2022. In this role, he focuses on developing anomaly detection algorithms aimed at identifying risks in accounting data. His work involves engaging with clients to perform exploratory data analysis and provide insights into their datasets, utilizing a variety of programming and data analysis tools.
Education and Expertise
Omar Jahangir holds a Doctor of Philosophy (PhD) in Deep Learning and Physics from University College London (UCL), which he completed from 2017 to 2021. He also earned a Master of Science (MSci) in Physics from Imperial College London from 2012 to 2016. His educational background includes A-Levels in Maths, Chemistry, and Physics from Seven Kings High School, and GCSEs from Brampton Manor Secondary.
Background
Omar Jahangir's professional background includes various roles in data science and applied physics. He worked as an Applied Physicist/Engineer at NIKON METROLOGY from 2016 to 2017. He also completed internships at Babylon Health and the Faculty in 2019 and 2018, respectively. Earlier in his career, he held undergraduate research placements at Imperial College London in 2014 and 2015.
Teaching Experience
Omar Jahangir served as a Machine Learning Teaching Assistant at University College London (UCL) from 2020 to 2021. In this position, he contributed to the education of students in machine learning concepts and applications, enhancing their understanding of the subject matter.
Technical Skills
Omar Jahangir utilizes a range of programming and data analysis tools in his work. His skill set includes proficiency in Python, Numpy, Docker, Java, Sci-kit learn, and Git. These tools enable him to conduct data analysis and develop algorithms effectively.