Shafeeq Rahiman
About Shafeeq Rahiman
Shafeeq Rahiman is a Data Analytics Architect with extensive experience across various domains, currently working at CARMA in Dubai since 2019. He holds degrees in Computer Science and Data Science, and is certified in Tableau and Alteryx, specializing in custom analytics solutions and machine learning applications.
Work at CARMA
Shafeeq Rahiman has been employed at CARMA as a Data Analytics Architect since 2019. In this role, he is based in Dubai, United Arab Emirates, and has accumulated five years of experience. His responsibilities include engineering and maintaining analytics automation, which encompasses both ad-hoc and scheduled ETL processes. He also maintains custom tools for bespoke analytics and data visualization, indicating a focus on tailored data solutions.
Education and Expertise
Shafeeq Rahiman holds a Bachelor of Engineering (B.E.) in Computer Science from the University of Mumbai, where he studied from 2003 to 2007. He also earned a Higher Secondary Certificate (H.S.C.) from Bhavan's College, studying Science from 2001 to 2003. Furthering his education, he completed a PG Diploma in Data Science at the International Institute of Information Technology – Bangalore from 2017 to 2018, and a Master's degree in Data Science from Liverpool John Moores University from 2019 to 2020. He is certified in Tableau and Alteryx.
Background
Shafeeq Rahiman has a diverse professional background, with experience across various domains such as Media and PR Monitoring, Sales, Marketing, Manufacturing, Asset Management, Education, Energy, and Healthcare. This broad exposure allows him to apply data analytics in multiple contexts, enhancing his ability to deliver relevant insights and solutions.
Research and Development in Data Science
In addition to his professional responsibilities, Shafeeq Rahiman engages in research related to Natural Language Processing (NLP) and applied machine learning. His research efforts aim to propose innovative analytic products, showcasing his commitment to advancing the field of data science and analytics.