- As a data science leader with over 12 years of experience, I specialize in AI, machine learning, and advanced analytics to drive high-impact business outcomes. I am passionate about leveraging cutting-edge technologies to extract actionable insights and transform businesses across BFSI, Telecom, Media, and CPG industries. - I have hands-on expertise in Python and its powerful frameworks, including Scikit-learn, TensorFlow, PyTorch, MLflow, H2O, PySpark, Pandas, and NumPy to design and deploy AI-driven solutions effectively. I am proficient in deploying machine learning and AI models on cloud platforms such as AWS and GCP, leveraging Docker and Kubernetes to ensure scalability, reliability, and optimal performance in production environments. - I have successfully led the development of a 500+ model ensemble for demand forecasting, resulting in multi-million dollar savings for a Fortune 500 beverage Industry. Additionally, I designed and deployed an AI-driven analytics suite that reduced service escalations by 20% month-over-month, leveraging advanced NLP techniques to analyze customer-support interactions, interpret sentiments, and automate case categorization. I also designed predictive AI models for zero ad viewership detection and hourly ad viewership forecasting which helped Sky Media UK optimize airtime allocation and drive 15% revenue increase. - I excel in delivering end-to-end ML projects, from data engineering and ETL pipeline creation to model development, deployment, and monitoring. My expertise extends to building high-performing data science teams, establishing scalable AI infrastructures, and driving enterprise-wide AI adoption. In my current role as VP - Lead Data Scientist, I focus on solving complex challenges in cybersecurity and digital customer experience space in the banking ecosystem, mitigating financial threats, ensuring the security of Wells Fargo along with better customer experience of its clients.