Key Responsibilities: Develop and evaluate forecasting models using statistical and machine learning techniques. Contribute to model generation and optimization using ML algorithms. Perform data exploration and analysis (EDA) for feature engineering. Collaborate with operations teams to translate findings into actionable strategies. Design and maintain ETL pipelines for data processing. Deploy machine learning models into production environments and ensure ongoing maintenance using MLOps practices. Work with cloud platforms (AWS, GCP) for scalable model deployment. Ensure data integrity and quality throughout the pipeline.
