Reglas Vikingas para construir tu carrera profesional

Todos tenemos un lugar en el mercado laboral, pero a veces sentimos que no terminamos de encontrarlo. Escribo estos consejos dirigidos a jóvenes que empiezan su carrera profesional y que he llamado “Reglas Vikingas” porque me recuerdan a la manera de actuar de estos intrépidos pueblos escandinavos.

Si fuera un recién licenciado (1/9): Lo primero que haría

Hace más de 20 años que terminé mi Licenciatura y es sorprendente lo cercano que recuerdo cómo afronté mis primeras entrevistas, mis expectativas, mis primeros días de trabajo... ¡es cómo si hubiese pasado ayer!. También recuerdo cómo hubiese agradecido algunos sencillos consejos que en ese momento desconocía.

10 Consejos para Expatriados

Los 10 consejos para afrontar una Expatriación


La Expatriación es un reto personal y profesional que se afronta con gran ilusión. Si yo fuera a iniciar una Expatriación tendría en cuenta los siguientes 10 aspectos:

What Career Should I Choose?

The first Viking Rule to build a successful career is to choose a career path that suits you. In other words, get to know yourself so you can find your "vocation". 

Your vocation is the place where your talent meets what you like and what the world needs.

Two strong women: Pippi Longstocking & Astrid Lindgren

A new book has been published about the famous Swedish writer, Astrid Lindgren (1907-2002), who gained worldwide recognition for her infant books and specially for creating the character of Pippi Longstocking. You can purchase it at Amazon - Astrid Lindgren: The Woman Behind Pippi Longstocking.  

As Nicci Gerrard describes in the Book review, she had an eventful life. When she was 18, she was a single mother working in Stockholm far away from his son Lars. She had some difficult years. Then she became a very successfull writer and her tax bill one year was above 100% of her income.

Machine Learning Applied to Online Recruiting

The article Application of Machine Learning Algorithms to an online Recruitment System  is an interesting paper that describes a Machine Learning (ML) methodology to make the hiring process more effective. I thought it could be a good example to talk about ML and reflect on the massive selection processes we face today.