It Analyst
Current- Designed and implemented enterprise-scale ETL pipelines for data transformation initiative using Python data science stack (Pandas, NumPy, Scikit-learn) and .NET framework.- Developed data visualization and reporting solutions using Matplotlib and Seaborn for stakeholder reporting and metric tracking.- Engineered AWS Lambda workflows and secure microservices with .NET for automated data pipelines, implementing RSA encryption, RabbitMQ queues, and API integrations.- Explored the use of Large Language Models (LLMs) and Transformers, including Hugging Face, Groq, PyTorch and OpenAI for AI-driven projects.