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Siemens Innovation Think Tank

I am happy to announce that from March 28th to April 7th 2022 I was selected to join the Siemens Heltineers Innovation Think Tank.

The program focuses on open innovation and co-creation of business ideas in healthcare, and participants get the opportunity to learn co-implementation approaches by working on real life challenges from healthcare systems.

It has been an interesting experience to challenge myself in finding solutions to help elderlies in our society and to test my team-wroking, collaboration, and creativity skills.

With my team (randomly chosen by the organizers) we proposed:

  • Memorandum: “A digital home assistant to remind patients of activities to do
  • FAITH Watch: Fisrt Aid In Trauma and Health”
  • Assistive suits to help with mobility
The main points of my ITT journey and the three proposed solutions

During the program we identified challenges elderlies are facing nowadays and future challenges of the increasingly aging population.

We then came up with the possible solutions and made a simplified business analysis that we pitched to the organizers on our final day.

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Amazon Pathways Operations Intern

I am happy to announce that from July to October 2021 I joined Amazon as Pathways Operations Intern.

Amazon Pathways Operations is a career accelerator in Amazon to develop leaders to become Amazon General Managers and Directors.

During my internship (which occurred during my PhD) I was in charge of imporving a metrics measuring the number of drivers entering and leaving the delivery station in time. Beside supervising and managing Amazon associates and drivers during the loading of the vans I also developed two tools in VBA for excel:

  • one to simplify and automate the data analysis and visualization for the metrics I was in charge to monitor;
  • one to automate the process in checking in the drivers when entering the station. This process was done manually, with the associates manually writing down on paper the number of vans entering the station and keeping track of how many were late. With my tool, the whole process was automated and it leveraged information extracted from scraping Amazon’s dashboards to understand when a driver was supposed to arrive, the best location to park each avn, the missing drivers.