Experienced Data Scientist and AI enthusiast with a proven track record of 5 years in the field. My expertise lies in leveraging advanced machine learning and deep learning techniques for predictive modeling, sentiment analysis, information retrieval, text summarization, and object detection. I have a strong background in building end-to-end SaaS products using Large Language Models (LLMs) and cloud platforms such as AWS, with proficiency in services like Textract, Comprehend, and SageMaker. In my current role at AstraQ, I developed AI-powered solutions that improved Quality Assurance processes, increasing efficiency by 40% and accuracy by 30%. I have also led automation initiatives using advanced language models such as GPT-4, achieving a 20% enhancement in testing speed. My expertise extends to designing and deploying scalable AI models and cloud-native solutions using platforms like AWS and Azure. In my previous role at MAI LABS (P2E Pro), I am driving innovation by fine-tuning chatbots and Que-Ans bots using cutting-edge models like Open AI GPT, Google PALM2, and Llama-2. I specialize in architecting application platforms, designing robust database schemas, and deploying microservices on AWS EC2 instances. My contributions include developing the Mai Bot product, enabling users to create and train chatbots with diverse data sources. In my previous role at R Systems, I developed a project in the insurance domain using NLP and AWS Textract to extract key data elements from documents and classify them based on categories with 99% accuracy for data extraction and 85% accuracy for classification. In the mobility domain, I predicted relocation amounts for services offered by the client using the Xgboost Regression and Keras Sequential model for supervised learning with an R2 score of 80. In addition to my professional experience, I completed a Post Graduate Program in Data Analytics from Imarticus Learning, where I gained training in Python, Power BI, Tableau, SQL, and MS Excel. I also have experience preparing for banking and SSC exams. Outside of work, I enjoy presenting on topics like search engine optimization and participating in hackathons. I have expertise in- Python for Data Science(NumPy, Pandas, MatplotLib, Sk-Learn) Machine Learning(linear regression,logistic regression,bagging,boosting) Deep Learning(TensorFlow, Keras, PyTorch) Natural Language Processing, Computer vision Tools-Jupyter Notebook, Pycharm Data Bases-Mysql, Oracle, MongoDB Visualization tools-Power BI, Tableau MS Office-MS-excel, PowerPoint, Word