Strong background having more than 5.5 years of experience in Fin-Tech, Healthcare, E-Commerce, Telecom, IT and Manufacturing Sectors. I have demonstrated my abilities in Business Analysis, Data Science, Advance Analytics and Artificial Intelligence including Gen AI & Agentic AI delivering value and impact to various stakeholders and beneficiaries. Contributed to the design and implementation of data pipelines, MLOps, LLMOps, dashboards, and reports, using R, SQL, Power BI, tableau, numpy, pandas, matplotlib, Seaborn, and other futuristic technologies. Learning and implementing various Machine and Deep Learning models to visualize large datasets and gain valuable and business insights from them. Languages:ㅤㅤDatabases:ㅤㅤCloud:ㅤㅤㅤㅤㅤㅤㅤㅤ ㅤPythonㅤㅤㅤMySQLㅤㅤㅤ ㅤAWSㅤㅤㅤ SQLㅤㅤㅤㅤPostgreSQLㅤ Azure ㅤNoSQLㅤㅤㅤMongoDBㅤㅤㅤGCPㅤㅤㅤㅤㅤ ㅤ Python Libraries:ㅤㅤㅤㅤML-Supervised Learning: ㅤㅤPandasㅤㅤㅤㅤㅤㅤㅤㅤLinear Regression ㅤㅤNumPyㅤㅤㅤㅤㅤㅤㅤㅤLogistic Regression ㅤㅤScikit-LearnㅤㅤㅤㅤㅤㅤDecision Trees (CART) ㅤㅤTensorFlowㅤㅤㅤㅤㅤㅤRandom Forests ㅤㅤKerasㅤㅤㅤㅤㅤㅤㅤㅤㅤNaïve Bayes ㅤㅤPyTorchㅤㅤㅤㅤㅤㅤㅤㅤSVM LangChainㅤㅤㅤㅤㅤㅤㅤ KNN PySparkㅤㅤㅤㅤㅤㅤㅤ GBM ㅤㅤ ML-Unsupervised Learning: ㅤDeep Learning: ㅤㅤK-Means Clustering ㅤㅤ CNN, RNN ㅤㅤDBSCANㅤㅤㅤㅤㅤㅤㅤ LSTM, GRU ㅤㅤHierarchical Clusteringㅤ BERT, GPT ㅤㅤDMM ㅤㅤㅤㅤㅤㅤㅤㅤGenAI, LLM, NLP ㅤㅤPCAㅤㅤㅤㅤㅤㅤㅤㅤㅤTransfer Learning ㅤㅤLDAㅤㅤㅤㅤㅤㅤㅤㅤㅤComputer Vision ML-Reinforcement Learning: Q-Learning Model-based value estimation Self - Supervised Learning ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ Prompt Engineering Retrieval Augmented Generation Conversational AI GANs, VAE, Transformers, Multi-Modal Transformers, Auto-Encoders, Neural Networks, Agentic AI. ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ Data Visualization: Tableau, PowerBI, Looker, Looker Studio, Excel, Python, Matlab, R-Programming