CDEV8130Career Management

List of activities: M ODULE 1: E LEVATOR P ITCH D ISCUSSION P OST V IDEO Ensure you have uploaded your elevator pitch in the discussion post section of module 1 and provided feedback to at least two of your peers. The elevator pitch should be between 45-60 seconds in length. M ODULES 1-2: R EFLECTION QUESTIONS In the first and second module, we reviewed Lois Sarah Marshall’s (2022) definition of career: “A career is a fluid process, not stagnant or simply a job. It is a process that must be nurtured - constantly grown and managed” (p. 7) . Now that you’ve had a chance to consider this definition of career, it’s time for you to put some thought into your definition of Career Management. Think about what key factors will be important as you manage your career over your lifetime? Write down two of the factors you considered and explain briefly why each will be important when managing your career long-term. Key Factors Why is this important when managing my career long-term? 1 Continuous Learning  I am able to keep up with developments and trends in the field thanks to my constant studying.  It aids in my ability to stay current and competitive in my field.  Gaining new abilities increases one's prospects for development and success.  It helps me successfully adjust to shifting job demands and market expectations. 2. Adaptability  I can handle unplanned changes in my job path since I'm adaptable.  It assists me in making pivots when needed, such as changing professional paths or taking on new tasks.  I can overcome obstacles and succeed in a variety of job contexts because I am adaptive.  It enhances my ability to accept change as a chance for personal progress.

Summarize what the result was when the task was completed, and/or what you learned from this experience. data processing, which greatly increased production and efficiency. Using the information indicated in the 3 rows above, write your Final polished accomplishment statement (in one concise statement). Developed a unique approach for maximizing the processing of data in Python that led to a thirty percent decrease in processing time as well as significant increases in effectiveness and profitability. Accomplishment Statement 2 Starting the statement – Write how you might begin the accomplishment statement (Ensure the statement starts with an action verb). Led the process of incorporating artificial intelligence models into a predictive analytics program written in Python. Add action details – Briefly indicate the actions taken to carry out this task. Responsible for a group's investigation, choice, and application of suitable machine learning methods utilizing the different libraries of Python. Results from the story - Summarize what the result was when the task was completed, and/or what you learned from this experience. A 20% improvement in the application's accuracy in forecasting resulted in better business outcomes and decision-making for all parties involved. Using the information indicated in the 3 rows above, write your Final polished accomplishment statement (in one concise statement). led the effort to include models from machine learning in a predictive analytics program that ran on Python. This improved the ability of stakeholders to make decisions and increased the accuracy of predictions by 20%. M ODULE 4: M Y B RAND S TATEMENT AND S OCIAL M EDIA P LATFORM

and chances for career progression. 1. LMI for location – The presence of large tech corporations and startups makes places like San Francisco, Seattle, and New York City hotspots for technology jobs, particularly cloud data engineering roles, according to the Bureau of Labor Statistics (BLS). 2. LMI for industry - As more businesses move their operations to cloud-based systems, there will likely be a considerable increase in the demand for cloud data engineers. Over the next ten years, the BLS projects a 15% growth in demand for jobs in computer and information technology, particularly cloud data engineers. 1. LMI for location – The concentration of big corporations and startups in tech hubs such as Silicon Valley, Austin, and Boston presents a plethora of chances for Python developers. 2. LMI for industry - Python is one of the most popular programming languages in a number of fields, such as web development, data research, and software development. By 2030, the BLS predicts a 22% increase in the need for software developers, particularly Python developers. Job titles that appeal to me in this industry and the salary range. 1. Yearly salary for a Cloud Data Engineer: $90,000-$130,000 2. Architect for Cloud Solutions: $100,000– $150,000 per year Job titles that appeal to me in this industry and the salary range. 1. $80,000–$120,000 a year for a Python developer. 2. Full Stack Developer (with Python expertise) - $90,000-$140,000 a year Websites where I can find employment information and opportunities for these job titles. 1. https://ca.indeed.com/ 2. https://www.linkedin.com/jobs/ Websites where I can find employment information and opportunities for these job titles (indicate different websites from industry 1). 1. https://stackoverflow.co/ 2. https://www.glassdoor.ca/Community/ index.htm