I designed and simulated a potential new hardware system for the company. In the first two weeks I learned how to use the software I would be using and started developing an understanding of the research area. After this, my days involved researching potential areas of investigation into the systems properties, creating and editing CAD models of the system, running electromagnetic field simulations of the model and then analyzing the results obtained. I shared my results most days with my manager, and we discussed potential new lines of research etc. At the end of the internship I wrote a report and gave a presentation of my findings to others in the company interested in exploring this hardware further.
Tasks generally rotated through the month with a lot of work being dedicated to updating the forecast with actual data to feed back to individual functions at month end. I was based in the cost base team so compliance with external auditors was very common. attending lots of meetings and building good relationships within the finance team also happened daily.
Designed and built a prototype piece of hardware to interface with and control some existing systems, and wrote software to control it and analyse the resulting data. Tested this project in a lab and analysed results. Designed, simulated in MATLAB and implemented in VHDL an algorithm for signal processing. Daily team meetings to check in on everyone and discuss our tasks for the day, then working individually (though people were available if help was needed)
My role was to assist the data science teams. I was a consultant, so my daily tasks switched between data analysis, data architecture and data management. The majority of my tasks were assigned by another team member who needed assistance. On some occasions I was assigned an individual task to work on myself. The work involved then reporting this back to team leads and project heads in daily stand up calls. There were lots of daily interactions with colleagues.
No two days were the same. I worked in mechanical design (AutoCAD), R and D, and research for marketing purposes. Each project brought its own challenges which helped me to develop and gain a lot of skills that I had not been able to use as much while at university. Working from home also meant I had to be more proactive in sourcing help from experienced engineers in my team. A very enjoyable experience.
Assisted the data science teams with their duties. These included maintenance and management of databases using SQL, Python, R and Scala code. I also performed data analysis on the databases and presented my findings to key stakeholders. I took part in the daily stand-up calls explaining the work I did and what I planned to do. There was a lot of ad-hoc work to assist various team members.
Develop useful software that works towards a major project. The day starts with a stand-up and discussing our tasks for the day, before breaking off and getting to work on our task. Other meetings may be held, to talk through the project, your task, or just as a general check in. I offer myself to my colleagues when not busy, to try and help them accomplish their work.