As a Software Engineer in the data engineering sector, I collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production, and liaise with stakeholders to analyze business problems and define the scope of the resolution needed. I use Python to analyze large, complex datasets, extract key features, and choose appropriate algorithms based on model results using deep learning frameworks such as Tensorflow and Keras. I also build enterprise solution applications using Infrastructure as Code in Azure, and use Devops in an agile framework during Cloud Migration to Azure/Snowflake.I'm pursuing a Master of Science in Computer Science from Georgia Tech, with a focus on Artificial Intelligence and Machine Learning, to align my academic and professional goals. I hold a Master of Science in Business Analytics from Bentley University, where I completed courses in data optimization, database management, business statistics, quantitative analysis, Java, time series analysis, data visualization, data science, machine learning, and data mining. I'm certified in Tableau, Microsoft Azure Fundamentals, and Microsoft Azure Data Scientist Associate, and I'm always eager to learn new skills and technologies. I'm fascinated by the boundless possibilities of Virtual Reality (VR) and its intersection with AI, and I'm actively shaping my trajectory toward a future at the forefront of AI and VR integration. I'm looking for opportunities to collaborate on challenging and innovative projects that leverage data-driven insights and AI-powered solutions.