About Me
Two years ago, I was an Electronics and Communication Engineering graduate, curious about how data could solve real-world problems. That curiosity led me to pursue a Master's in Advanced Data Analytics at the University of North Texas. Since then, I’ve immersed myself in the world of data—analyzing IMU sensor outputs to understand joint movement, forecasting carbon emissions for sustainability initiatives, detecting heart rate anomalies for emergency care, and even building an AI-powered waste collection system that placed 6th in a competition. I bring hands-on experience with Python, SQL, Tableau, R, and machine learning—comfortable working across cloud platforms like AWS and GCP. My strength lies not just in modeling, but in asking the right questions, cleaning messy datasets, and turning data into actionable insights. Outside of analytics, I volunteer at a hospice where I spend time with the elderly—an experience that fuels my empathy and reminds me why human-centered solutions matter most. I’m currently looking for a full-time data analyst or applied analytics role where I can combine my technical skills, healthcare interest, and drive for innovation—whether in healthcare, climate, or AI-powered applications.