Internship Explores Clustering Techniques and Analytics
The impact of the Covid-19 pandemic has accelerated the need for providers in the Life, Pensions and Investments sector to do things more innovatively, and more rapidly, than ever before.
For some, that requires a complete transformation as a business – including updating their software, upskilling their teams and looking more broadly at how they manage their change projects.
Here at Ai-London, we are interested in supporting our clients to undertake their transformation in an agile way. A way that causes minimum disruption to their core activities and allows them to future-proof their business.
We are currently working with four Data Science students from City, University of London. During their internships, each of the students will work to establish individual problem statements and associated real-world use cases in the application of artificial intelligence and machine learning. All of which is supporting Ai-London to enable rapid product launch for our clients.
Here’s our latest quick-fire Q&A with Ai-Intern, Dominic Palaczky
Dominic, welcome to Ai-London! So, tell us a bit about you and your background?
Dominic: I completed my Bachelor’s in Maths with Finance and Economics at City, University of London. From there, I had planned to embark on a career in finance analytics, but when the pandemic hit, it felt like finding the perfect role at that time was going to be difficult. So, once I graduated, I took some time out to enhance my skills in data science; coding in particular. I completed several courses and really loved what I learned. When the opportunity to do my Masters in Data Science came about, I jumped at the chance.
What is it about your studies that really interests you?
Dominic: I am a bit of a maths nerd, so the fact that this is all part of my studies is great. In particular, I really enjoy machine learning and am fascinated by neural networks and how you can train data using formulas and algorithms to work like the human brain and gradually improve its accuracy. I actually undertook a mini project where I used data to predict developed nation’s happiness. Using just four pieces of economic data I was able to analyse and predict people’s happiness, providing similar scores to the Happiness Report.
Sounds great, so what is it that you’re hoping to get out of your time with Ai-London?
Dominic: A major focus for my time at Ai-London will be to use artificial intelligence to develop a system that can segment and profile customers using clustering techniques, and then find the best ways to engage with those customers based on what the data suggests. A really exciting project for me! I am also really interested in seeing how the business can use my academic learning and put it to practical use. I’m intrigued by how you can explore problems so much deeper with AI and then use this to offer explanations and solutions. I want to see first-hand how this can help in business to make decisions and take actions more quickly than they could before.
We’re looking forward to catching up on how this work progresses! So, when you’re not developing your machine learning skills, what else can you be found doing?
Dominic: I am really into fitness and enjoy practicing yoga. Other than that, now that we can, I love to socialise and just explore London with friends; after all there’s just so much to see and do!
Interested in Ai-London’s focus on Artificial Intelligence? Read our latest white paper.