Danish Mehra
About Danish Mehra
Danish Mehra is a Data Science Intern currently working at Arca Blanca in London, England. He has a diverse background in data science, having previously interned at several organizations and founded his own company, Dauntless.
Current Role at Arca Blanca
Danish Mehra is currently employed as a Data Science Intern at Arca Blanca, a position he has held since 2021. His internship in London, England, has lasted for three years, during which he has gained practical experience in data science applications. His role involves utilizing advanced data science techniques to contribute to various projects within the organization.
Previous Experience in Data Science
Before joining Arca Blanca, Danish Mehra worked as a Combined Data Science Intern at Tensr.AI in 2020 for three months in Delhi, India. He also completed internships at NTPC Limited in 2018 for one month and at Multisoft Systems, where he focused on Data Science and Machine Learning using Python in 2019 for a total of four months. These experiences provided him with foundational skills in data analysis and machine learning.
Teaching and Training Experience
Danish Mehra has a background in teaching and training. He served as an Instructor at Dauntless from 2018 to 2020 for two years in Greater Noida, Uttar Pradesh, India. Additionally, he worked as a Technical Trainer at Purple Beard Training in London from 2020 to 2021 for nine months. In these roles, he shared his knowledge of data science and technology with students and professionals.
Educational Background
Danish Mehra has a solid educational foundation in engineering and data science. He earned a Bachelor of Technology in Electrical and Electronics Engineering from Shiv Nadar University from 2016 to 2020. He then pursued a Master of Science in Big Data Science at Queen Mary University of London from 2020 to 2021. His academic background supports his skills in neural networks and data analysis.
Projects and Skills
Danish Mehra has developed various end-to-end projects in Computer Vision and Natural Language Processing. He is skilled in neural networks and extensive data analysis, and he is experienced in using state-of-the-art data science tools. His continuous learning approach enables him to stay updated with the latest advancements in the field.