Christina Lefkothea Tatli
Studying MSc Finance
Why did you choose to study MSc Finance and why specifically at Imperial College Business School?
I decided to study Business Analytics because I felt it would give me the right data analytics skills and the right experience using sophisticated software tools, in order to help in the development of the next generation of product and services, as Big Data is becoming an effective basis of competition in almost every industry. What fascinated me most is that big data applies to almost all industries, from healthcare and the ability to provide personalised medicine to logistics and operations trying to improve the efficiency of the supply chain. Also, the reason I applied for MSc Business Analytics at Imperial College Business School was not only the high knowledge level it provides, as well as being ranked among the top 10 universities worldwide, but mostly its cosmopolitan atmosphere and its anthropocentric research programmes, which deliver analysis that addresses the major challenges facing humanity.
What was the most important thing/learning point you took with you from the Business School?
One of the most important things I learned from my experience studying MSc Business Analytics is how to evaluate and quantify the business value of each technical project. Also, being able to communicate advanced technical concepts with a diverse audience gives you a competitive advantage, as your results and techniques can be easily trusted.
How did you find living in London?
London is an exciting city to live and study. It gives you the chance to meet and collaborate with people from all over the world, making it a global, vibrant and a diverse city. Also, what impressed me most when I visited London for the first time was the cultural offering that the city provides, with more than 1000 museums and galleries. Therefore, studying in London can give you the chance to culturally enrich your study experience. Last but not least, one of the greatest benefits of London is the power to connect people. London’s status as a world city means employers including banks, media companies and every kind of business inbetween, choose to locate their headquarters to London. Many of these employers provide opportunities that can fully prepare a student as a professional employee.
Career & professional development
What is your current role like?
I am working as a Data Scientist in the Revenue Management team of Expedia Affiliate Network (EAN), which is the B2B brand of Expedia. As a team, we try to deliver the right hotel to the right partner at the right price, in order to maximise profitability for the company and our partners. We use a range of tools and Software like Python, Apache Spark, PostgreSQL and Tableau in order to create offline and online machine learning models, as well as monitoring systems and dashboards.
What do you enjoy most about your current work and what are the main challenges that you face?
Working as a data scientist in a B2B company means that the majority of your solutions should be scalable in order to address the needs of a diverse range of clients. This is challenging since it requires having a very solid understanding of the business and sector, but also because you need to perform data processing and computation at a massive scale from very different data sources.
The alumni network
In what way is remaining connected to your alumni network important to you? / What value do you get out of your Business School and alumni connections?
Most importantly, a big part of the alumni network includes very close friends that had exactly the same difficulties as you during the studies, job applications, etc. As such, being in close connection with those people that have very similar experiences and influences to you, can give you a great source of advice and support.
What value do you get out of your connections with the Business School and your fellow alumni?
MSc Business Analytics included a very diverse cohort, that chose very different career paths and sectors like Financial Services, Travel Industry, FinTech and many more with a common characteristic: ‘Analysing data to drive innovation and value’. As such, experiences and expertise shared between the alumni network can constantly energise and inspire you, as well as give you that competitive edge in today’s tough jobs market.
Advice for future students
What advice would you give to a prospective student considering studying the same programme as you?
It would be very beneficial if you spend a significant amount of time during the summer to learn the basics of programming. R, Python and SQL are the core languages that someone needs throughout the year and there are many online tutorial that provide free lessons (DataCamp, Coursera, Udemy). Spending time learning these programming languages will give you a competitive advantage especially at the beginning of the academic year.