Sahana Venkatesh - Taking Career to the next level | PyData Global 2023

Learn how to take your career to the next level as a machine learning engineer, decision scientist, or software engineer. Sahana Venkatesh shares expert tips on developing skills, building experience, and driving growth.

Key takeaways
  • Side projects help you develop accountability and learn how to work independently.
  • A machine learning engineer combines software engineering skills with machine learning and creates algorithms and models.
  • Working with non-tech stakeholders is important for machine learning engineers.
  • Decision scientists start with data collection, basic analysis, and building statistical models.
  • It’s important to understand the business needs of the company and drive growth.
  • Volunteer work, community building, and online courses can help you develop skills and build experience.
  • Paid mentorship can help you develop technical skills and a goal-oriented approach.
  • Engineering teams are important for machine learning and require synergy with machine learning teams.
  • Side projects can help you develop a portfolio and build connections.
  • Boot camps can help you learn new skills and build experience.
  • Sponsors can be found through meetups, volunteer work, and online communities.
  • It’s important to cultivate good relationships with stakeholders and understand their needs.
  • Decision scientists need to have good communication skills and be able to present insights to executive teams.
  • Lead decision scientists build sophisticated models and participate in high-level strategic meetings.
  • It’s important to take ownership of your career and not just rely on job opportunities.
  • Machine learning engineers need to have software skills, be metric-oriented, and be able to develop systems that run in real-time.
  • Paid mentorship can help you develop technical skills and a goal-oriented approach.
  • Online courses and tutorials can help you develop skills and build experience.
  • Hackathons can help you learn new skills and build experience working with others.
  • It’s important to understand the business needs of the company and drive growth.
  • Decision scientists need to have good communication skills and be able to present insights to executive teams.
  • Lead decision scientists build sophisticated models and participate in high-level strategic meetings.