Prakhar Saxena

Oracle-certified Data Science Professional passionate about harnessing Oracle Cloud Infrastructure to build production-grade machine learning solutions that solve real business problems. With hands-on expertise in the full ML lifecycle on OCI - from data preparation and feature engineering using OCI Data Science notebooks and Accelerated Data Science SDK, to model training, evaluation, deployment, monitoring, and MLOps best practices. I turn complex datasets into actionable, scalable intelligence. Key strengths include: • Designing and implementing ML pipelines on OCI services (Data Science, Data Flow, Object Storage, AI Vector Search, Generative AI integration) • Leveraging AutoML, model catalogs, and deployment tools for faster experimentation and production readiness • Applying Python, SQL, TensorFlow/PyTorch, and cloud-native tools to deliver measurable outcomes like reduced inference latency, improved prediction accuracy, and cost-efficient scaling En route to graduate with a Bachelor of Technology (BTech) in Computer Science and Engineering from Lovely Professional University - further validating advanced skills in cloud-based ML workflows and virtual ecosystem integration. Excited to bring all the expertise to innovative teams working on AI/ML in the cloud. If you're hiring for or collaborating on OCI data science, cloud AI projects, or MLOps - let's connect and discuss how we can drive impact together!