Sara Ibraheem

Sara currently works as a Data Analyst at Wates Group, focusing on projects in construction analysis, model training, and data discovery. Her career path since graduation has seen her progress from foundational tasks in data exploration to leading significant projects like the Business Optimisation Program and collaborating with industry leaders on predictive analytics for project profitability. 

Her time at Kent provided her with essential skills in data manipulation, analysis, and collaborative problem-solving, which she applies daily in her role. 

Tell us about your career path since graduation.

Since graduating, I've embarked on an exciting career in data science, focusing on various projects in construction analysis, model training, data discovery, and more. I started with foundational tasks like initial data exploration and gradually moved towards more complex challenges, such as transforming data reports and enhancing data acquisition algorithms. My role has evolved to include significant projects like defining lead indicators of project profitability and implementing advanced techniques for data analysis and model performance tuning. 

What does a typical work day look like for you?

A typical workday for me involves a mix of data exploration, analysis, and strategic planning. I often start my day by reviewing ongoing projects and setting priorities, which could range from investigating data reports to implementing extraction processes. Collaboration is key, so I frequently engage in discussions with my team and other stakeholders to ensure our data models and strategies align with our goals. My day also includes training and tuning models, validating data, and working on enhancements for our ETL algorithms.

Can you share a professional highlight from your career so far?

One of the professional highlights of my career has been leading the "BOP - Business Optimisation Program." This project focuses on improving business processes through the application of advanced data analytics and machine learning. Another significant achievement was the collaborative effort with Microsoft and Elastacloud to analyse lead indicators of project profitability, where we explored various factors that could predict project success or failure. These initiatives have been instrumental in driving efficiency and profitability in our projects. Also, a notable achievement was my promotion and the opportunity to aim for the position of the first Data Scientist in my team, marking a significant milestone in my career progression.

How did your time at Kent help you achieve your current career?

My time at Kent equipped me with a solid foundation in data science principles and analytical skills, which have been crucial in my career. The coursework and projects at Kent provided me with hands-on experience in data manipulation, analysis, and model development, all of which I apply daily in my current role. The university also fostered a collaborative learning environment that has helped me thrive in team settings and complex project discussions.

What advice would you give to our current/prospective students who are looking to get into the same line of work?  

For students aspiring to enter the field of data science, my advice would be to focus on building strong analytical and programming skills. Engage in projects that challenge you to explore and manipulate data, as real-world experience is invaluable. Networking with professionals in the field and staying updated with the latest industry trends and technologies can also provide a competitive edge. Lastly, be open to continuous learning and adapting, as the field of data science is ever-evolving.

Did you get involved in any extracurricular activities as a student?

Yes, I was actively involved in several extracurricular activities during my time at Kent. I served as a Student Ambassador, where I supported open days, provided campus tours, and presented information about the accessibility of higher education. Additionally, I worked as a TEF Researcher at Kent Union.

Do you have a favourite memory from your time at Kent?

One of my favourite memories from my time at Kent is visiting the ducks in the summer at the pond in front of the Jennison building. It was a peaceful and relaxing spot where I could take a break from studies and enjoy the beautiful surroundings.

Is there anything you would do differently if you could repeat your time at Kent? 

If I could repeat my time at Kent, I would probably seek out more opportunities for industry collaborations. Gaining practical experience alongside academic learning can provide deeper insights and better prepare students for the challenges of the professional world.

Are you still in touch with other Kent alumni or academics?

Yes, I maintain contact with several Kent alumni. These connections have been valuable for professional networking, knowledge sharing, and even collaborating on projects. The Kent community continues to be a great support system for me.

What are your future ambitions? 

Looking ahead, my ambitions include further advancing in the field of data science and taking on leadership roles where I can drive innovative projects and strategies. I aim to become a leading expert in my field, particularly in developing advanced data modelling pipelines utilizing generative AI technologies. I am also passionate about business process optimization and look forward to spearheading initiatives that streamline operations and enhance efficiency. I aspire to mentor aspiring data scientists, guiding them in their career development and helping them achieve their professional goals.