I'm a Data Scientist with 2 years of experience working with a multi million dollar energy client at Accenture and an MSc in Data Science from the University of Manchester. During my MSc in Data Science at the University of Manchester, I developed and evaluated advanced machine learning models to support business decision making for SDK finance through Banking product recommendation system, including predictive and classification based approaches using Python and SQL. Alongside my academic work, my professional experience at Accenture involved building and maintaining scalable reporting and analytics solutions using SQL, Excel, and Power BI to support senior stakeholders. My dissertation on personalised humour classification explored advanced machine learning and NLP techniques applied to unstructured data, strengthening my understanding of model evaluation, experimentation, and practical deployment considerations. I am comfortable working with Python based analytics workflows and communicating findings clearly to non-technical audiences. Collaboration is central to my way of working. I have partnered with cross-functional teams across technology, operations, and business functions, contributing in Agile environments and ensuring analytics outputs were aligned with stakeholder needs. I am confident presenting insights, explaining assumptions, and supporting data-driven decision-making in fast-paced, commercial settings.…I'm a Data Scientist with 2 years of experience working with a multi million dollar energy client at Accenture and an MSc in Data Science from the University of Manchester. During my MSc in Data Science at the University of Manchester, I developed and evaluated advanced machine learning models to support business decision making for SDK finance through Banking product recommendation system, including predictive and classification based approaches using Python and SQL. Alongside my academic work, my professional experience at Accenture involved building and maintaining scalable reporting and analytics solutions using SQL, Excel, and Power BI to support senior stakeholders. My dissertation on personalised humour classification explored advanced machine learning and NLP techniques applied to unstructured data, strengthening my understanding of model evaluation, experimentation, and practical deployment considerations. I am comfortable working with Python based analytics workflows and communicating findings clearly to non-technical audiences. Collaboration is central to my way of working. I have partnered with cross-functional teams across technology, operations, and business functions, contributing in Agile environments and ensuring analytics outputs were aligned with stakeholder needs. I am confident presenting insights, explaining assumptions, and supporting data-driven decision-making in fast-paced, commercial settings.WWWW…