- Collaborate closely with stakeholders to gather business requirements and translate them into technical specifications to inform model design and implementation- Conduct data manipulation required for model pre- and post-processing (preparing the data)- Analyze data using pandas, numpy, and matplotlib to choose the most appropriate solution.- Develop machine learning and deep learning models using sklearn, tensorflow, and pytorch.- Develop reinforcement learning environments and agents using gymnasium, stable-baselines3, and ray.- Train, validate, and cross-validate predictive models using cutting-edge techniques and document results for client deliverables

- Work on projects collecting, cleaning, and processing data.- Collaborate with clients to define project requirements and goals and to develop solutions that meet their needs and expectations.- Leverage Python, SQL, and other tools to clean, process, and analyze data.- Communicate findings and insights to stakeholders clearly and concisely, using data visualization and other techniques to enhance understanding and engagement.