As a Data Engineer and Machine Learning Specialist, I thrive at the intersection of advanced analytics, AI, and scalable data solutions. With a Master of Science in Applied Data Analytics from Boston University, I have honed my expertise in building end-to-end pipelines, implementing cutting-edge AI models, and driving actionable insights from data. 🔹 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Built robust pipelines using tools like Airbyte, dbt, and Dagster, streamlining workflows and improving query performance by over 40%. 🔹 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 & 𝗖𝗹𝗼𝘂𝗱: Leveraged PySpark, Snowflake, and Google BigQuery for real-time data insights and cost-optimized processing on AWS and Azure Databricks. 🔹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗔𝗜: Deployed advanced models like Mask-RCNN and LDA-based topic modeling, achieving precision and efficiency gains in document analysis and sentiment extraction. 🔹 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Transformed raw data into actionable insights using Tableau and Power BI, enabling teams to make data-backed decisions. 🔹 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: - Designed Retrieval Augmented Generation (RAG) systems leveraging OpenAI’s LLMs, improving query efficiency and model performance. - Developed an automated resume tailoring application using Claude 3.5 and Streamlit, reducing manual effort by over 75%. - Currently exploring hierarchical content generation for a Game of Thrones-inspired project, utilizing generative AI to build dynamic storylines and immersive worlds. Beyond technical achievements, I’m deeply committed to collaboration, continuous learning, and innovation. Let’s connect to explore opportunities for collaboration or to discuss the latest trends in technology!