As a Data Scientist and Python Developer, I have contributed to the development of advanced machine learning solutions and backend systems, particularly in the Life Sciences sector. My role revolves around designing scalable systems, enhancing data-driven decision-making, and delivering impactful results through advanced technologies. *Key Responsibilities & Achievements* :• Machine Learning & NLP: Applied Topic Modeling (LDA) and Named Entity Recognition (NER) to extract valuable insights from unstructured data.• Backend Development with FastAPI: Designed and developed scalable APIs using FastAPI, enabling seamless integration with cloud services and optimizing data workflows.• Cloud Services (AWS): Integrated various AWS services including Lambda, S3, API Gateway, Step Functions, Comprehend, Textract, and Augmented AI. Used AWS Textract for extracting text and structured data from PDFs and AWS Comprehend for analyzing and processing this data, transforming it into organized, structured formats for further analysis.• Python Technologies: Utilized Pandas, Numpy, Gensim, Spacy, Flask, Beautiful Soup, Pydantic for data manipulation, web scraping, and machine learning tasks.• Infrastructure & Automation: Deployed infrastructure using Terraform and worked with Microsoft Entra ID for secure authentication.• Azure Integration: Leveraged Azure Blob Storage for efficient data storage and Azure API Management (APIM) for managing and securing APIs. Also utilized Azure App Functions and FastAPI to develop scalable backend services and integrate them with cloud environments.