• 12 years of IT experience, including 9 years in full-stack modeling across Data Mining, Analytical Tools, Survey Research, Marketing Analytics, Big Data, AI/ML, and Visualization, with 2 years specializing in LLM and LLMOps. • Data-driven innovator focused on developing machine learning solutions that enhance customer experience, drive cost-effective growth, and mitigate risks throughout the customer lifecycle. • Evolved into a leadership role in team building and management of cross-functional teams, focusing on developing AI/ML roadmaps and feature proposals that drive impactful AI solutions. • Extensive experience in statistical modeling techniques, encompassing descriptive, predictive, and prescriptive analytics, complemented by robust quantitative and qualitative statistical data analysis. • Expertise in designing and implementing customer retention frameworks utilizing advanced analytics for churn prediction, root cause analysis, and risk mitigation, impacting billions in spending through proactive strategies. • Developed and managed 150+ predictive models ensuring bias and fairness, significantly influencing strategic decision-making in marketing optimization, ROI maximization, and customer lifetime value enhancement. • Skilled in leveraging LLMs for advanced Q&A tasks, micro-learning applications, and optimizing work efficiencies through Generative AI tools like Jira automation and C1-C4 decoding. • Strong experience in supervised and unsupervised machine learning, analyzing extensive datasets (100M+ household data, 20K+ behavioral data) to derive actionable insights. • Proficient in building and optimizing deep learning models (CNN, RNN, LSTM) using TensorFlow and Keras, alongside robust machine learning techniques including classification and clustering algorithms. • Developed NLP models for topic extraction and sentiment analysis, utilizing the NLTK library for advanced NLP processing. • Hands-on experience with AWS services, including EC2, S3, SageMaker, and EMR, and adept at deploying ML pipelines using Docker and Kubernetes. • Expertise in anomaly detection techniques (LOF, Isolation Forest), Sagemaker RandomCut Forest for identifying fraudulent activities and ensuring data integrity. • Proficient in creating dynamic data visualizations and dashboards (Flask, Streamlit, Tableau) • Experienced with big data technologies, Teradata utilities, Agile project management tools, and version control tools Skilled in analyzing business marketing strategies to enhance customer engagement, utilizing messaging segmentation and persona extraction.