Complete Worksheet

[sammybigbux]

Must be done by 1/18 in the morning (so 2 days to do this). This will help with resume.

[sammybigbux]

This week:

• [x] - Take a look at the Successful Exits white paper (attached) for thoughts on job transition activities worthy of consideration.
• [x] - Invest time in page 1 of your Ideal Work Preferences (attached in prior email) to solidify core values and prepare yourself for a successful journey throughout your career. I've included my personal IWP matrix to offer an idea as to how you may wish to use page 1 of this resource.
• [x] - With respect to ‘Your Value Proposition & Desired Responsibilities’ & 'Organizational Attractors', explore areas that would result in a high level of on-the-job satisfaction, and apply these core values to construct a LinkedIn headline and elevator pitch.
• [ ] - When ready, we can explore my Compensation Model to help you validate budget, set expectations, and inevitably negotiate the best deal.
• [ ] - See our Resume Look Book (on the portal), or use my Resume Templates (previously attached), for guidance to optimize your resume.
• [ ] - Once your resume is tuned up, we'll optimize your LinkedIn profile (see my LinkedIn Feedback/Guidance attached)

[sammybigbux]

Headline "Data Science & Machine Learning Professional | Boosting Quality and Accessibility in Software | Specialist in Big Data Pipeline Optimization | Harnessing Large Language Models to Streamline Software Testing & Release | Co-author on Global Health Research Published in Nature | M.S. in Data Science Focused on Machine Learning"

"Data Science and Machine Learning Expert committed to elevating the quality and impact of software projects. My expertise in big data pipeline optimization and the application of large language models transforms software testing and release processes, ensuring enhanced efficiency and quality. With experience in academia, I bring a unique blend of academic rigor and practical application to the software projects I work on. With an M.S. in Data Science focused on Machine Learning, I am dedicated to advancing technological solutions that utilize data to drive organizational decisionmaking.