I'm a Data Scientist with 3+ years' experience in data modelling, statistical analysis and building analytics that drive decisions, across retail, consumer-goods and insurance domains. I'm currently completing an MSc in Data Science at Coventry University, UK, with modules in Machine Learning, Big Data Analytics, Data Management Systems and Data Visualisation.

At Infosys, I progressed from Associate Data Analyst to Associate Data Scientist and then Data Scientist. My work has spanned sales-portfolio analytics, Marketing Mix Modelling, demand modelling and trade-promotion optimisation for a US consumer-goods business, as well as customer segmentation for collections and large-scale insurance analytics, all delivered end-to-end on Azure with Power BI reporting.

I build end-to-end data-science pipelines and deploy models with MLOps practices, working in Python, SQL, PySpark and R with Azure (Databricks, Data Factory, Data Lake, Azure ML, DevOps) and Power BI. Alongside my professional work, I've built a range of self-directed ML projects and academic projects spanning NLP, computer vision, big-data and modern analytics.

What I enjoy most is the part where analysis turns into a decision - making a model's output clear enough that a business team will actually use it. I work best alongside the people who own the commercial outcomes the data supports.