Full-Stack Data Professional
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A versatile full-stack data professional skilled in analytics, engineering, and machine learning, with a strong ability to solve problems across the entire data lifecycle.
An analytical, results-driven, and adaptable Data Scientist, I applied my expertise in data analytics, machine learning, and data engineering to deliver actionable insights and drive business growth. I utilised advanced statistical analysis, predictive modelling, and data visualisation tools to extract meaningful patterns from large datasets. Detail-oriented and technically skilled, I built and maintained robust ETL pipelines, created interactive dashboards, and collaborated with cross-functional teams to enhance data collection, reporting, and decision-making.
My experience spans programming languages such as Python, R, SQL, and JavaScript, as well as big data technologies like Hadoop and Hive, enabling me to manage the full data lifecycle and support data-driven strategies effectively.
M.Sc Big Data Analytics(Sheffield Hallam University)
Focused on end-to-end Big Data Analytics and Business Intelligence processes. Coursework emphasises mastering industry-relevant software and frameworks, including SAS, R, Python, Tableau and the Apache Hadoop Ecosystem.
Developing advanced expertise in Machine Learning and AI techniques applied to large datasets.
Modelling, data mining, and developing decision-support systems. Data Management, Distribution, and Integration principles.
Gained hands-on experience solving real-world Big data challenges
