With more than six years of experience in the IT industry, I am dedicated to using data to inform decision-making and improve business outcomes. My academic background includes a Bachelor's in Civil Engineering, an MBA in Project Management, a Master's in Production Engineering, a postgraduate course in Data Science and Analytics, and a BSc in Information Systems. This has equipped me with a strong data science and information technology foundation. Throughout my career, I have pursued my interest in Data Science and Analytics, starting with a Residency program that provided me with extensive knowledge. Since 2021, I have worked as a product owner, utilising my skills and expertise to lead and coordinate projects effectively.My expertise in Data Science is extensive, covering a range of essential skills such as analytical abilities, data analysis, Extract, Transform, Load (ETL), and statistics. I possess a strong skill set that enables me to deliver accurate and insightful analysis, making me support any team.I was part of a significant project to develop a classification algorithm to identify the risk of failure in vital machines within the production process. This project involved data transmission, loading, transformation, and close collaboration with maintenance specialists to interpret the results. As a result, I successfully implemented a comprehensive dashboard with ranking indicators, significantly enhancing predictability, clarity, and accessibility for the maintenance team. This project yielded an estimated cost savings of approximately USD 70,000 per year.I am dedicated to providing valuable insights and driving innovation in IT by combining my technical expertise with a passion for data-driven decision-making and continuing learning.