WEBVTT 1 00:00:00.145 --> 00:00:02.125 I'm Sharla and I studied maths at Warwick 2 00:00:02.125 --> 00:00:03.805 and I graduated in 2016. 3 00:00:04.405 --> 00:00:06.765 I work for Deliveroo and I'm a machine learning engineer. 4 00:00:07.145 --> 00:00:09.845 So a machine learning engineer involves all sorts of things, 5 00:00:09.905 --> 00:00:12.885 but essentially what we do is create machine learning models 6 00:00:13.105 --> 00:00:14.165 to solve problems. 7 00:00:14.345 --> 00:00:16.925 So for instance, at Deliveroo we have a whole host 8 00:00:16.925 --> 00:00:17.965 of machine learning models. 9 00:00:18.435 --> 00:00:20.085 Some of the ones that I work on are 10 00:00:20.085 --> 00:00:21.365 to do with uh, advertising. 11 00:00:21.385 --> 00:00:23.245 So for instance, when we show you adverts, 12 00:00:23.265 --> 00:00:24.725 we wanna make sure they're relevant to you. 13 00:00:24.945 --> 00:00:26.365 So we create a machine learning model 14 00:00:26.435 --> 00:00:27.925 that predicts the probability that you get 15 00:00:27.925 --> 00:00:29.725 to click on an ad, so then we can 16 00:00:29.725 --> 00:00:30.805 show you that relevant content. 17 00:00:31.365 --> 00:00:32.765 I chose to study maths at Warwick 18 00:00:32.765 --> 00:00:34.605 because it was one of the best in the lead tables, 19 00:00:34.745 --> 00:00:36.525 but also when I looked into the course content, 20 00:00:37.025 --> 00:00:39.685 you could choose modules from outside of the course. 21 00:00:39.985 --> 00:00:42.325 Uh, so for instance, I chose some economics modules 22 00:00:42.325 --> 00:00:44.445 and that was really great because I wasn't exactly sure 23 00:00:44.445 --> 00:00:46.925 what I wanted to do and that kind of gave me the option 24 00:00:46.925 --> 00:00:48.125 to be able to study what I wanted. 25 00:00:48.465 --> 00:00:50.445 So I took economics and computer science 26 00:00:50.505 --> 00:00:53.285 and that's sort of what I ended up doing my masters in PhD 27 00:00:53.465 --> 00:00:55.965 in and is very relevant to my career now as well. 28 00:00:56.785 --> 00:00:59.125 The course at Warwick was where I first started to code, 29 00:00:59.125 --> 00:01:00.845 which is a massive part of my job now. 30 00:01:00.945 --> 00:01:03.125 Um, I basically code all, all day long. 31 00:01:04.025 --> 00:01:06.525 So yeah, Warwick basically introduced me to coding 32 00:01:06.905 --> 00:01:09.205 and started the foundations for building 33 00:01:09.205 --> 00:01:10.285 that skill to become my career. 34 00:01:10.705 --> 00:01:13.565 So Warwick helped me by doing a mock interview, 35 00:01:13.655 --> 00:01:16.365 which is a skill which I really wasn't very confident with. 36 00:01:16.425 --> 00:01:18.245 So being able to access the career services 37 00:01:18.345 --> 00:01:21.005 and practice interviewing really prepared me 38 00:01:21.005 --> 00:01:22.245 to then apply for roles. 39 00:01:22.545 --> 00:01:24.685 So the professors at work were really helpful in helping me 40 00:01:24.705 --> 00:01:27.925 access different opportunities for my career, so internships 41 00:01:28.105 --> 00:01:29.205 and job roles, which 42 00:01:29.205 --> 00:01:30.325 I wouldn't have been aware of otherwise. 43 00:01:30.945 --> 00:01:32.405 At work I did lots 44 00:01:32.405 --> 00:01:34.765 of teaching in secondary schools in the local area 45 00:01:34.865 --> 00:01:35.885 and this kinda helped me 46 00:01:35.905 --> 00:01:38.165 to develop my scientific communication skills 47 00:01:38.185 --> 00:01:40.405 and it really helps me in my career at the moment to be able 48 00:01:40.405 --> 00:01:42.565 to communicate with people of all different backgrounds. 49 00:01:43.135 --> 00:01:44.925 While I was at Orrick, I was involved 50 00:01:44.925 --> 00:01:47.205 with Warwick in Africa, so I went over to Ghana 51 00:01:47.345 --> 00:01:50.325 and to Tanzania to teach for the summers, 52 00:01:50.545 --> 00:01:52.765 and that was a really great experience to kind 53 00:01:52.765 --> 00:01:54.965 of build my confidence and learn new skills 54 00:01:55.265 --> 00:01:56.525 and it was really enjoyable. 55 00:01:56.905 --> 00:01:58.445 I'd recommend someone applying to Warwick 56 00:01:58.445 --> 00:01:59.565 because of all the different options 57 00:01:59.565 --> 00:02:00.645 that you get with the maths course. 58 00:02:00.705 --> 00:02:02.325 You don't just have to take maths modules. 59 00:02:02.325 --> 00:02:04.685 You can take them from any subject that you like, 60 00:02:04.745 --> 00:02:06.525 and that's a really great benefit of the course. 61 00:02:06.885 --> 00:02:08.725 I feel nostalgic when I think about my time at Warwick 62 00:02:08.845 --> 00:02:10.045 'cause I had such a lovely time 63 00:02:10.045 --> 00:02:11.325 and I have so many memories here. 64 00:02:11.515 --> 00:02:12.925 It's lovely to walk around the campus 65 00:02:13.105 --> 00:02:14.325 and remember all the good times. 66 00:02:15.085 --> 00:02:16.645 A common misconception is that people 67 00:02:16.645 --> 00:02:18.565 that study maths all become maths teachers, 68 00:02:18.665 --> 00:02:19.725 but that's really not true. 69 00:02:19.875 --> 00:02:22.045 Math sets you up for so many different career options 70 00:02:22.045 --> 00:02:23.445 and that's why I wanted to choose it 71 00:02:23.445 --> 00:02:24.645 because I didn't know what I wanted 72 00:02:24.645 --> 00:02:26.605 to do when I was selecting my course. 73 00:02:26.605 --> 00:02:29.845 Whereas maths kind of set me up for all different sorts 74 00:02:29.845 --> 00:02:31.205 of career paths if I wanted them.