Developed and deployed Python-based automation scripts and scalable ETL/data pipelines on Microsoft Azure, reducing CPU utilization by up to 79% and lowering operational costs by 60–70%. Implemented AI-driven analytics and deep learning models with Azure AI to forecast VM usage, improving cloud resource allocation and supporting sustainability initiatives by reducing energy consumption. Designed and integrated job scheduling workflows in Python to minimize unnecessary machine runtimes, enhancing system efficiency and reducing idle compute hours. Built monitoring and alerting solutions with Python, Azure Monitor, and logging frameworks, improving system reliability and reducing downtime by 30%. Optimized SQL queries and Python data processing scripts for large-scale datasets, reducing execution times and accelerating analytics workflows. Collaborated with cross-functional teams in an Agile environment to deliver automation solutions, ensuring alignment with business goals and scalabil

Python Developer at Deloitte, India

December 1, 2022 - October 13, 2025

Designed and implemented NLP-based solutions using Python, OCR, and NLTK for Pfizer’s IntelliDoc project, improving document data extraction accuracy and reducing manual processing effort by 35%. Built data analytics pipelines in Python to preprocess, clean, and transform large volumes of unstructured text, enabling downstream model training and boosting overall model performance. Collaborated with cross-functional teams to integrate NLP workflows with enterprise applications, ensuring seamless deployment and scalability within client environments. Supported unit and automation testing using Python and Selenium, enhancing software quality and reducing post-deployment issues across client deliverables.

Python Developer at Citius Tech, India

June 1, 2022 - October 13, 2025

Developed and maintained Python-based ETL pipelines to process large-scale healthcare data, ensuring HIPAA compliance and improving data ingestion efficiency by 30%. Implemented NLP and text mining solutions using Python, NLTK, and spaCy to extract clinical insights from unstructured EHR data, enhancing accuracy of healthcare analytics. Built automation scripts in Python to streamline claims validation, reporting, and data quality checks, reducing manual processing time by 40%. Integrated Python applications with SQL and NoSQL databases (PostgreSQL, MongoDB), optimizing queries and improving data retrieval performance. Collaborated with cross-functional Agile teams, participating in sprint planning, code reviews, and deploying Python applications into cloud-based healthcare analytics platforms.