Having 4 years of experience in Data Science building Machine Learning, NLP Model using Generative-AI LLM's to solve real-time business problem. Hands on building NER and Text classification model using Deep Learning technique Hands on data gathering, data cleaning ,Text preprocessing ,data analysis, statistical analysis and predictive modeling using prompt engineering Utilized GPT-based architectures LLM(Large language model) to generate creative and informative content, enhancing Machine learning model. Staying Up-to-Date with NLP, Generative-AI LLM, and AI Advancement. Data Engineer:Creating ETL pipeline using AWS Glue for analysing data from AWS Redshift and Athena. Utilized Microsoft Fabric platform to create ETL Pipeline loading data into data lake to build create visualization using PowerBI. Data analysis and Visualization: Analysed Retail sales data using MySql and created interactive dashboard using Power BI. Created new column by connecting existing columns for calculations to manipulate data and enable user driven parameters for visualization. Used different types of customized visualization (bar charts, pie chart, donut chart, scatter chart, line chart, card, slicers etc) Python Libraries: Pandas, Numpy, Matplotlib, Seaborn ML Libraries: Sklearn, NLTK, Spacy Framework: Tensorflow, keras, LangChain Database: MySql, PostgreSQL,SSMS Vector Database: Pincone, ChromaDB, FAISS Cloud: AWS, GCP, Azure