• Data Aficionado with extensive knowledge in Data Science, Machine Learning, Generative AI, and Information Technology Domain.• Skilled in working full data insight cycle – from understanding business logic and business drivers, Exploratory Data Analysis, identifying predictors, building models, and storytelling.• Leads in identifying scope for automation, formulating complex business problems into actionable data solutions, and implementing in-house AI/ML Solutions.• Make business recommendations with effective presentations of findings at multiple levels of stakeholders/clients through visual displays of quantitative information.• Skilled in applying machine learning algorithms such as Linear and Logistic Regression, Regularization Techniques, Decision Trees, Random Forest, Naïve Bayes, SVM, Classification, Clustering, GBM, KNN, PCA, LDA, XGBoost, Statistical Techniques, Generative AI, Natural Language Processing (NLP)/Text Analytics techniques, as well as frameworks, like TensorFlow, Keras, Scikit-Learn and Explainable AI (XAI) to provide intelligent and interpretable solutions.• End-to-end GenAI based solutions for both Structured and Unstructured Data.• Conversational AI/Chatbot Implementation on RASA and Langchain with customized solutions.• Worked on huge datasets of structured and unstructured data, performing all phases of the data science process.• Effective communicator with excellent interpersonal skills; possesses a flexible and detail-oriented attitude with strong analytical and problem-solving abilities.