Umer Haider H.

I’m a dedicated Python, Data & Machine Learning Engineer with over six years of hands-on experience architecting and deploying data-driven solutions that fuel business growth and operational efficiency. Skilled in end-to-end data engineering—from designing scalable ETL pipelines and data warehouses to building real-time dashboards with Power BI and Tableau—I turn complex datasets into clear, actionable insights. On the machine learning front, I specialize in developing and productionizing predictive models using frameworks like TensorFlow, Keras, and Scikit-learn, as well as implementing advanced techniques such as Retrieval-Augmented Generation (RAG) and computer vision with OpenCV to solve real-world problems . In my current role as a Data AI\&ML Engineer at ARVO by PGC, I lead efforts to integrate AI/ML models into existing systems, optimize data architectures for performance and scalability, and deliver intuitive dashboards that empower stakeholders to make data-backed decisions . Passionate about continuous improvement, I leverage cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD tools (Git, Jenkins) to ensure robust, maintainable, and high-impact solutions. I thrive on collaborating across teams to translate complex requirements into elegant technical implementations that drive measurable results. looking for long term relationships with dynamic organizations that will provide me excellent working experience.