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Mariia Zalevskaya

Mariia Zalevskaya

Consultant, London, UK
/ / What I do at Synechron

I am a data expert and problem-solver

I am a Consultant in the Data practice. I help our clients enable the data that already exists in the organisation and help them answer all their data-related questions to help them bring their ideas and project to life. From putting together over a hundred data sources to get a true representation of each client; making sure the data is reliable and good quality; to how data can improve the customer journey through the bank, I work with our clients to solve their data problems, to create and accelerate their strategies.


I work with our clients to solve data problems, create and accelerate their strategies.

/ / Why I joined Synechron

To get hands on experience and grow

I joined Synechron as part of the grad scheme. I was looking for an opportunity that would allow me to develop a wide variety of skills. Their trainings, as well as the exciting variety of clients they work with, has really helped me with my professional growth. I now have hands-on project experience in large, enterprise scale projects using cutting-edge technology. At Synechron, we have an amazing team of bright, talented, ambitious people who always bring innovative ideas to the forefront of everything they do.

/ / My Skills, Qualifications And Experience

Is it possible to have too many degrees?!

I probably have more degrees than a normal person should have! I have graduated from the double degree programme in Applied Maths and Physics with a focus on Computer Science and Economics. During the last year of my Bachelors, I discovered my passion for data and how it can explain paradoxes in behavioural economics. I moved to London to continue my Data Science education at the University of Westminster. I am also a certified Scrum Master but prefer to follow the “individuals over tools” principle of Agile.


Arts, Crafts, Machine Learning & Female Empowerment

I love arts and crafts, and right now I am studying lettering. I am also the co-chair of the Women in Machine Learning and Data Science network where I enjoy organising events and conferences for the wider UK community. For me, it is an opportunity to bring together a community of amazing female data scientists to the spotlight and give them an opportunity to share their knowledge with everyone. The liaising with hosts, speakers and sponsors takes a lot of time and effort but I truly enjoy It and the positive impact it has on others.


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