An interview with Applied Data Science Bootcamp Alumnus and Senior Customer Insight Analyst, Andonis Pavlidis.
What were you doing before you enrolled in the Bootcamp?
I was working as a Pricing Analyst for Farfetch. A global tech platform for luxury fashion, connecting creators, curators and consumers. Essentially it's a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide.
I needed a more advanced skill set to push my role further".
What challenges or friction did you encounter with your existing skillset?
I was using basic statistics to analyse very complicated interactions. I needed a more advanced skill set to push my role further.
Why did you choose Cambridge Spark as your learning provider?
I had a few discussions with recent attendees they were very pleased with the course. Additionally, the syllabus looked very extensive. I thought this would give me great exposure to the vast subject of Data Science.
What did you enjoy most about the Bootcamp?
The bootcamp is hands-on which makes your learning very efficient. I prefer this to traditional courses where there is lots of theory that can never be leveraged.
Can you sum up your overall experience of Cambridge Spark?
I really enjoyed the overall informal setting. The syllabus is extensive but is made very clear during the lectures. Most of all, I enjoyed K.A.T.E. which essentially gives you instant feedback when you submit work. This accelerated my momentum as I did not have to wait on a traditional feedback process.
Cambridge Spark is an amazing collection of knowledgeable people that will help you start your journey."
What advice would you give for those considering the Bootcamp?
I think learning Data Science is a never-ending process. You will need a lot of curiosity and resilience. Cambridge Spark is an amazing collection of knowledgeable people that will help you start your journey. So ask as many questions as you can!
What are you doing now?
I’ve recently been promoted as a Senior Customer Insight Analyst. I use many of the concepts learnt in the bootcamp within my role (Customer Lifetime Models, Segmentation, Propensity modelling, Time Series).
What does the future hold for your career?
I’m very happy in my role and would like to progress it further. More advanced analytics, more curiosity, more insights, more actions. Eventually, I would like to lead a small team of data analysts that use advanced analytics to uncover actionable insights.
In the face of ambiguity, I think the best action is to make sure you are well rounded and Cambridge Spark is a great starting point".
Could you sum up your perspective on the Data Science Industry?
I have no idea where the industry is going. I do know there is a lack of individuals that are able to uncover and insight, analyse it with advanced analytics and productionise it into a product. In the face of this ambiguity, I think the best action is to make sure you are well rounded and Cambridge Spark is a great starting point.
Cambridge Spark equipped me with the foundations that I needed to perform advanced analytics. This ultimately led to a promotion into a role that I really enjoy."
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