Summary: <p>During this episode, Felipe talks about how to find and double down on your strengths. Instead of working on your weaknesses, Felipe says that we should do more of what we are already good at. Spend more time thinking about the things that you are talented in. Felipe is good at going and helping teams. Eventually, he makes himself redundant by doing these three things:</p> <p>1. Sharing knowledge openly, quickly, and effectively.</p> <p>2. Create a system that is self-organizing and self-sustaining.</p> <p>3. Helping individuals learn and improve as soon as possible.</p> <p>When working with individuals, find out what their strengths and weaknesses are. Also, learn where they want to go and what they want to know. Then, you will need to understand how they can learn and the ways they can get better. For example, Felipe caught up with a data scientist; he was working on learning his perceived strengths and weaknesses. However, the skills he was working on didn’t line up with a long-term vision for his career. That’s why it’s essential to have a vision in mind.</p> <p><strong>Enjoy the show!</strong></p> <p><br></p> <p><strong>We speak about:</strong></p> <ul> <li>[01:30] How Felipe makes himself redundant<br> </li> <li>[04:40] Working with individuals in the workplace</li> </ul> <p><br></p> <p><strong>Thank you to our sponsors:</strong></p> <p><a href="https://www.fyrebox.com/">Fyrebox</a> - Make Your Own Quiz!</p> <p><a href="https://studyonline.rmit.edu.au/online-programs/master-data-science">RMIT Online Master of Data Science Strategy and Leadership</a></p> <p>Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organisation-wide solutions.</p> <p>We are <a href="https://www.wearerubix.com.au/">RUBIX</a>. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.</p> <p>Visit <a href="http://online.rmit.edu.au/">online.rmit.edu.au</a> for more information</p> <p><br></p> <p>And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!<br> </p> --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message
