Emmanuel Sekyi
About Emmanuel Sekyi
Emmanuel Sekyi is a Senior Quant Software Engineer with extensive experience in data-related roles, including Data Engineer and Machine Learning Engineer. He holds a Master's degree in Applied Mathematics from the University of Cape Town and has worked in various countries, including South Africa, the United States, and Germany.
Current Role at Kindred Group
Emmanuel Sekyi serves as a Senior Quant Software Engineer at Kindred Group plc. He has been in this position since 2023, working in a hybrid capacity from London, England. In this role, he applies his extensive knowledge in quantitative software engineering to contribute to the company's data-driven initiatives.
Previous Experience at Synthesis Software Technologies
Prior to his current role, Emmanuel worked as a Senior Data Engineer at Synthesis Software Technologies from 2022 to 2023. Based in Cape Town, Western Cape, South Africa, he focused on data engineering tasks for one year, enhancing his skills in data management and processing.
Professional Background in Engineering and Data Science
Emmanuel has a diverse professional background, having held various roles in engineering and data science. He worked as a Lead Full Stack Engineer at PaalUp LLC from 2019 to 2022 in Delaware, United States, and as a Data Science Consultant at Grai Labs from 2018 to 2019 in Cape Town Area, South Africa. His experience also includes a role as a Machine Learning Engineer at Data Revenue GmbH for four months in Berlin, Germany.
Educational Qualifications
Emmanuel holds a Master of Applied Mathematics with a focus on Machine Learning from the University of Cape Town. He also completed the Africa Data Science Intensive Program, where he achieved expertise in Data Science. His undergraduate studies were in Chemical Engineering, earning a Bachelor of Science from Kwame Nkrumah University of Science and Technology in Kumasi.
Skills in Software Development and Data Engineering
Emmanuel has transitioned from backend development to frontend engineering, utilizing JavaScript frameworks such as React.js and d3.js for creating visualizations. His career has provided him with a comprehensive understanding of data-related roles, including Data Engineer, Machine Learning Engineer, and Data Scientist, allowing him to leverage data for impactful solutions.