I am a data scientist and analyst with a background that sits somewhere between the deeply technical and the genuinely human side of data work. I have spent the last four years building machine learning models, data pipelines, and analytics systems, but the part I find most meaningful is not the model itself. It is the moment someone looks at an insight and says "I did not know that" and then actually does something about it. I grew up in India, studied engineering, then moved to Belfast to do my MSc in Data Analytics, which was equal parts exciting and terrifying. Building a life in a new country while studying full time taught me how to figure things out independently, stay curious under pressure, and find community in unexpected places. What makes me a bit different is that I genuinely enjoy the messy middle of data work. The fragmented sources, the ambiguous requirements, the stakeholder who cannot quite articulate what they need. Most people want clean problems. I have come to enjoy the ones that are not. I am currently exploring remote opportunities because I want to work with teams and problems that challenge me regardless of geography. I learn fastest when I am slightly out of my depth, which probably explains most of my career choices so far.