"With over six years in IT, I've transitioned from a cloud and DevOps specialist to a data scientist and analytics engineer. My experience with Azure, AWS, and CI/CD processes provides a unique foundation for creating end-to-end data solutions. I excel in building scalable data pipelines, developing machine learning models, and applying statistical analysis to solve complex business challenges. My goal is to leverage the synergy between cloud technologies, DevOps practices, and data science to drive innovation and strategic decision-making in the data-driven era."
"Information is the oil of the 21st century, and analytics is the combustion engine." - Peter Sondergaard
Developed a Python prototype for translating audio for content creators using Google's open-source libraries.
Creating a prototype GenAI project utilizing open-source LLMs and RAG on graph databases for private datasets, designed to function as a standalone product for any specific industry.
Kent State University | Kent, OHIO (2024 – Present)
Developed a revenue forecasting model using regression and time series analysis.
EPAM Systems INC | Bangalore, India (2022-2023)
Led DevOps implementation, managed Azure services, and enhanced security with IAM.
KPMG Global Services | Bangalore, India (2021-2022)
Implemented IAM, streamlined cloud deployments, and optimized cloud resources.
Mindtree Ltd. | Bangalore, India (2018-2021)
Led cloud migration to Azure, improved uptime, and reduced costs by 35%.
Kent State University | Kent, Ohio, United States (2023-Present)
GPA: 3.5/4.0
Coursework: Machine Learning, Database Management, Data Visualization, Data Mining, Deep Learning, Graph Databases, Neural Networks.