As a Data Scientist at Ford's Global Data Insights & Analytics(GDI&A) team, I apply my AI/ML and IIoT skills to improve equipment uptime and efficiency. I develop and implement statistical and unsupervised ML models for condition-based maintenance (CBM) and Anomaly Detection using machine signals and sensor data on GCP. I collaborate with cross-functional teams, including software engineers, product managers, business stakeholders, and plant engineers, to build scalable applications and deliver actionable insights. I have a Bachelor's degree in Mechanical Engineering from Anna University and multiple certifications in Advanced Maths, Machine learning, and Deep learning from AlmaBetter, where I also completed several Data science projects and interned as an SME and content manager. I have 4+ years of experience in data analysis, AI, and modeling, and I am passionate about solving real-world problems using data and technology. I am always eager to learn new skills and tools, and I value teamwork, innovation, and quality.