Here's how you can showcase your Machine Learning expertise to your superiors.

Look for projects or initiatives within your organization where machine learning techniques can add value. This could be anything from improving efficiency in operations to enhancing customer experience or optimizing resource allocation.

I would build projects that address real-world problems relevant to our industry or organization. I would ensure these projects demonstrate a clear understanding of the end-to-end machine learning pipeline, from data collection and preprocessing to model selection, training, and deployment. By documenting my process, highlighting innovative techniques used, and presenting measurable outcomes, I would create a portfolio that showcases my technical skills, problem-solving abilities, and impact on business objectives. Additionally, I would make use of visualizations and concise reports to effectively communicate my findings and the value added by my solutions.

I would share insights by presenting clear, concise, and impactful summaries of my work. I would use visualizations, such as graphs and charts, to highlight key findings and demonstrate the effectiveness of my models. Additionally, I would prepare detailed reports that explain the methodology, the rationale behind model choices, and the potential business impact. Regularly sharing these insights during team meetings or via internal newsletters, and making myself available for discussions to address any questions or feedback, would help ensure that my contributions are well understood and appreciated.

From beginner to advanced level, there are online courses, webinars & free youtube videos to learn from. Take notes, practice hands on, discuss and take suggestions from peers, seniors & experts on online forums like linkedin groups, stackexchange, etc. Keep up with the changing landscape of AI-ML. Update the seniors & supervisors on your progress, certification courses & how they relate to your job role. Give exams & earn badges from IBM, SAS, Stanford AI, Google, AWS, Azure, etc. Learn ML techniques & apply them to real world projects to reflect on your learnings. Good project ideas & data are available on kaggle, github, ML repositories like UCI, etc. Don't despair, learn continuously, build your confidence & showcase your skills!!

I would mentor others by actively engaging in knowledge-sharing sessions, offering to conduct workshops or training programs, and providing one-on-one guidance to team members. I would make myself available to help colleagues with their projects, offering advice on best practices, model selection, and debugging techniques. By fostering a collaborative environment and encouraging continuous learning, I would demonstrate my leadership skills and commitment to the team's success, ultimately highlighting my value to the organization.