● Apply advanced analytics and machine learning techniques to extract insights and build predictive models● Tackle complex data-related challenges and drive innovation in data-driven decision-making● Develop and deploy interpretable machine learning models to enhance transparency and trust in AI-driven solutions● Train and fine-tune NLP models for applications such as text classification, sentiment analysis, and named entity recognition.● Utilize AWS services, including SageMaker, Comprehend, and Lambda, for model training and deployment.● Deploy NLP models and chatbots on AWS, ensuring scalability, reliability, and security.

● Assisting in the design and development of AI models● Conducting data analysis and preprocessing for machine learning● Collaborating with the team to implement AI algorithms and improve existing models● Presenting findings and progress in team meetings

● Developing and implementing machine learning models to improve outcomes.● Analyzing large datasets to identify trends and patterns that inform business decisions.● Developing data-driven solutions that improve the efficiency and effectiveness of healthcare delivery.● Collaborating with cross-functional teams to ensure that data-driven solutions align with business and customer needs.● Communicating complex data insights to both technical and non-technical stakeholders, including customers, executives, and developers.● Make recommendations to adapt existing business strategies.

● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.● Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.● Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.● Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

● Interpret data, analyze results using statistical techniques and provide ongoing reports● Identify, analyze, and interpret trends or patterns in complex data sets● Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems● Work with management to prioritize business and information needs● Locate and define new process improvement opportunities