As a data engineer at DinovaUX.Ai, I apply my passion and expertise in data science and machine learning to deliver innovative solutions for international clients in the science and technology sector. I architect and implement ETL processes, develop and maintain data visualizations and dashboards, design and optimize databases, and leverage Azure Databricks and Data Factory for advanced analytics and data engineering. I have successfully completed several projects that involved processing large datasets, ensuring data quality and consistency, and providing actionable insights for business decisions.I hold a master's degree in data science and machine learning from London South Bank University, where I gained a solid foundation in machine learning frameworks, such as Tensorflow, and programming languages, such as Python and SQL. I also hold multiple certifications in network and security, such as HCNA, HCNP, and ICSI | CNSS, which demonstrate my technical proficiency and versatility. I am always eager to learn new skills and technologies, and to keep up with the latest trends and developments in the data and digital landscape.Besides my professional interests, I enjoy connecting with new people and sharing ideas. I am a gregarious and collaborative person, who values teamwork and diversity. I love riding my bike around London and exploring different cultures, cuisines, and perspectives. I am motivated by curiosity, creativity, and impact, and I strive to make a positive difference with my work.