Case study

Drawing from my own professional experiences, here is a list of actions I’ve taken at various points in my career so far:

• Technical proficiency:
  • Technologist: Maintain articles on my LinkedIn and medium pages and take on speaking engagements to communicate my work. I also moderate events with Women in AI, giving a platform to other women doing incredible work in AI (and learning from them).
  • AI expert: Got various certifications and completed two boot camps. I buy Udemy courses occasionally to practice with different ML models outside of work.
  • Technical translator: Organized training with stakeholder teams to get them up to speed on mature data practices and I’ve done workshops explaining models used/alluded to when doing competitive analysis on other products.
  • Data steward: Documented data hygiene, data lineage, and data cataloging tools; I’ve also created data governance and access standards...