I am a Data Scientist and AI/ML Engineer with a Master’s degree in Data Science from the University of Wisconsin–Milwaukee, graduating in May 2025. With around 4 years of experience in delivering AI/ML and data-driven solutions across financial services, IT consulting, and enterprise platforms, I specialize in building scalable ML/AI pipelines, predictive modeling, NLP, and Generative AI including large language models and retrieval-augmented generation systems. I take pride in creating data solutions that drive measurable business outcomes such as efficiency gains and enhanced decision-making.
In my current role at State Street, I engineer secure cloud-based data pipelines and design models for fraud detection and market risk forecasting, integrating generative AI chatbots to boost client engagement. Previously, at HCL Tech, I built scalable machine learning pipelines and deep learning models, led Agile AI initiatives, and mentored teams in MLOps best practices. I am passionate about Agile methodologies, compliance-driven analytics, and using cloud-native technologies to build scalable and audit-ready AI systems.
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