Nicola Romagnoli

From studying a masters in media and digital culture to launching a career as a data analyst, see Nicola’s journey here

Nick Romagnoli

I wanted to gain the skills that would give me more flexibility in my career and complement the skills and experience I already had. Data analytics does just that.

Nicola Romagnoli
Data Analyst for KPMG

Congratulations on your new job! What exactly will you be doing at KPMG, what technologies will you be using?

I’ll be working within their data science team, working alongside the financial risk department.
In terms of technology, I’ll be applying my knowledge of machine learning, R, modeling, and feature extraction.

I’m particularly excited about this new position as I will be using R, a programming language I’ve become quite fluent in at Ubiqum. I’ll therefore be able to refine my coding skills, instead of starting a new language from scratch.

I’ll also be using techniques such as time series, Shiny, and Hadoop.

What were you doing before signing up for our course?

I went to Amsterdam to study and did a masters in media and digital culture. Then, I started working in a production company as a researcher, making documentaries.

Why did it seem like the right moment in your life to sign up for the course?

When I was working for the production company, it was very stressful, things would regularly fall apart and I knew that long-term it wasn’t the right job for me. In the back of my mind, I knew I wanted to pursue something different, maybe something along the lines of coding. So, when I finished the job, I started to look for code academies and I found Ubiqum.

What was your main concern before starting?

I had tons of concerns; I thought I might not have enough experience to manage the course, considering I lacked the theoretical background. I also wasn’t sure I’d find a job after without a related university degree. But actually companies are starting to see that having a degree doesn’t necessarily mean you’re the most qualified person, especially within the world of technology.

What were your expectations/what were you hoping to get out of the Data Analytics course?

The reason I decided to take a course in data analytics is because it’s such a broad field; you can apply it to any sector. I love the idea that you can use it in a political campaign, for example, and do a sentiment analysis, or you can go down the route of smart cities and energy consumption. I wanted to gain the skills that would give me more flexibility in my career and complement the skills and experience I already had. Data analytics does just that.

Do you think Ubiqum’s Learn by Doing methodology has been effective?

Yes I think it’s very effective. It’s definitely a steep learning curve and challenging, but the whole story – pretending to be in a working company doing real life projects – is a great idea! It’s a struggle in the beginning if you don’t have a background in mathematics, as this makes it harder to get started, but it doesn’t take long to get into the swing of things. You sometimes crave a simple answer or for someone to show you how to do something, but that’s not how it will be on the job. Ubiqum’s methodology sets you up for a real work environment.

Would you recommend Ubiqum and if so, why?

I think if you want to learn data analytics then Ubiqum is a solid way to gain those skills. I would say it’s quite a time commitment, but the fact that it’s so long really equips you with the skills that are necessary within the tech, and more specifically, the data analytics field.