Head Of Data And Production
CurrentMLOps: MLFlow, CI/CD for Machine Learning, Model Monitoring, Model Versioning, Automated Machine Learning PipelinesMachine Learning: Supervised and Unsupervised Learning, Model Optimization, Hyperparameter Tuning, Multi-Classifier Neural NetworksDeep Learning: Neural Networks, TensorFlow, PyTorch, Model Training and EvaluationData Engineering: Apache Nifi, dlthub, Data Pipelines, Data Preprocessing, ETL (Extract, Transform, Load)Programming Languages: PythonCloud Computing: Azure, Google Cloud, DockerMLOps Implementation: Leading the implementation of MLOps practices to automate and streamline model deployment and monitoring processes, reducing time-to-market and improving model reliability.Neural Network Development: Developed and deployed a multi-classifier neural network model to enhance prediction accuracy, leveraging deep learning techniques.Machine Learning Models: Created and fine-tuned machine learning models for various applications, ensuring high performance and scalability.