Data Scientist
Current◘ Machine learning and AI development: Designing, developing, and implementing machine learning algorithms and AI models to solve business problems and optimize processes.◘ Data preprocessing and cleaning: Cleaning and preparing data for analysis by addressing data quality issues, handling missing values, and transforming data into a suitable format for modeling.◘ Model evaluation and optimization: Assessing the performance of machine learning and AI models using appropriate evaluation metrics, fine-tuning models to improve accuracy, and addressing overfitting or underfitting issues. ◘ Collaborating with cross-functional teams: Working closely with business stakeholders, software engineers, and data engineers to understand requirements, translate them into technical solutions and ensure successful implementation.◘ Continuous learning and improvement: Actively seeking opportunities to enhance technical skills.