As a seasoned Senior Data Scientist/Data Engineer, I excel in building cloud-based solutions that empower businesses to make data-driven decisions. With a strong background in end-to-end data lifecycle management, I've successfully implemented CI/CD pipelines, migrated databases to Azure Data Lake, implemented solutions in Azure, AWS and GCP cloud platforms, developed/deployed ML/NLP/DL/LLM models that drive business value. My expertise in NoSQL databases, Spark streaming, and statistical analysis enables me to uncover valuable insights from complex datasets, and my experience with Large Language Models (LLMs) has allowed me to create personalized customer interactions through chatbots and virtual assistants. I'm passionate about leveraging data to drive business growth and excited to collaborate with like-minded professionals to drive innovation.SKILLS• Language: Python, MySQL, PySpark, Shell scripting• Database: SQL, MongoDB, PostgreSQL, Microsoft SQL Server, NoSQL (Cassandra, MongoDB), Hive, HDFS, HBase• Cloud: Azure (Azure Data Factory, Databricks, Logic Apps, Synapse Analytics, Microsoft Fabric, Cosmos DB, Azure Data Lake), AWS (EC2, S3, Redshift, RDS, Lambda functions)• Machine Learning: Regression, Classification (Logistic Regression, Decision Trees, Random Forest, XGBoost), Clustering, Neural Networks, Natural language Processing algorithms, MLOps• GenAI: LLM's, RAG 2.0, Vector Databases, Pinecone, LlamaIndex• Tools: Visual Studio, SSMS, Git, GitHub, Jupyter Notebook, Tableau, Power BI, Excel, Airflow, Docker