Mark Swan
Product Strategy & Operations Manager @ Revolut
About
Mark Swan is a highly skilled data scientist from Scotland with a passion for developing technologies that improve people's lives. He brings a unique combination of analytics expertise and leadership experience to the table, with a proven track record of developing data science tools to help a range of industries, including investment management, environmental science, digital banking, and cloud computing. Currently, Mark is the Product Strategy & Operations Manager at Revolut, where he applies his skills in data science, machine learning, artificial intelligence, data visualization, software engineering, financial technology (fintech), digital banking, blockchain, remote sensing, computer vision, deep learning, philosophy, and political science to drive the company's growth and success. Prior to his role at Revolut, Mark worked as a Software Engineer Intern at Amazon Web Services (AWS), where he led the development of a Python data analysis software package for monitoring AWS cloud computing performance metrics for the launch of a new cloud computing product. He also worked as a Growth Equity Intern at Generation Investment Management, where he presented an investment roadmap on "Fintech in Latin America" to multiple partners, directors, and portfolio managers at the firm. He helped analysts collect, analyze, and evaluate quantitative and qualitative research data using his knowledge of programming, data science (e.g., using Python), and expanded his professional network by speaking with CEOs and co-investors on a daily basis. Mark holds a Bachelor of Science degree in Computer Science from the University of Edinburgh, where he graduated in 2021. He also served as Head Boy at Cults Academy. Mark's tech stack includes Data Scientist, AWS, ML, Blockchain, Computer Vision, Software Engineer, Deep Learning, Research Scientist, Python, and Web. With 2.03 years of relevant experience, Mark is a highly skilled and experienced data scientist who is committed to developing innovative technologies that improve people's lives.
Education
• the university of edinburgh
Companies
• revolut
• amazon
• generation investment management
• n26
Experience
2.8 Years
Experience
Global Equity and Research Intern
generation investment management | London, United Kingdom
2016 - 2017
Skills
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Amazon Web Services (AWS)
analytics
banking
Blockchain
Cloud Computing
Computer Vision
Data Analysis
Data Science
Data Scientist
Deep Learning
Leadership
Machine Learning (ML)
operations
Python
Research
Research Scientist
Software Engineer
Software Engineering
strategy
Vision
Web
Web Services
Contact Details
Email (Verified)
xxxxxxxx@xxxx.xxMobile Number
+91XXXXXXXXXXEducation
the university of edinburgh
Bachelor of Science
2017 - 2021
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