Alexandros Nezeris
Data Science Manager @Holland & Barrett
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WORK HISTORY
Data Science Manager @Holland & Barrett
London, GB
Lead a team of six data scientists at Holland & Barrett, focusing on innovation and operational excellence.Collaborate with the marketing team to build a new Marketing Mix Modeling model for improved campaign analysis.Work with the merchandising team on store clustering and developing a refit optimization tool at both macro and micro levels.Successfully transitioned legacy systems to modern platforms, enhancing performance and reducing costs.Improved CI/CD processes for robust and efficient workflows, incorporating automation and best practices.Foster a high-performance, collaborative team culture through knowledge-sharing and development.Optimized operational costs and laid the groundwork for future growth and innovation.Drive data-driven decision-making through scalable, efficient data science solutions.
EDUCATION
Ludwig-Maximilians-Universität München
Erasmus Scholarship, Mathematics and Computer Science
University of Southampton
Master's degree, Data Science
Ethnikon kai Kapodistriakon Panepistimion Athinon
Bachelor of Science (BSc), Mathematics
SKILLS
ABOUT ALEXANDROS NEZERIS
I am an experienced data scientist with a solid foundation in mathematics and deep expertise in machine learning. My experience working within Agile methodologies has enabled me to efficiently manage projects and collaborate with cross-functional teams. I have a proven history of leading high-performing teams to deliver innovative, data-driven solutions, consistently ensuring timely and impactful results.As the Data Science Manager at Holland & Barrett UK, I lead a team of 6 data scientists with diverse expertise and experience levels. I spearhead key initiatives across marketing, merchandising, and operations, such as the development of a new Marketing Mix Modeling system and a store clustering and refit optimization tool. Additionally, I am responsible for redesigning and improving the team’s MLOps platform to enhance efficiency and scalability.In my free time, I enjoy playing basketball, reading books, traveling, and painting miniatures. These hobbies allow me to recharge my batteries, foster my creativity, and cultivate my ability to work well in diverse environments.I am passionate about data science and enjoy working collaboratively to create innovative solutions that make a real impact. Let\'s connect and explore how we can work togetherSpecialities:Data science | Machine Learning | Artificial Intelligence | Deep Learning | Python | R | SQL | Big Data | Descriptive statistics | Predictive analytics | Supervised learning | Unsupervised learning | Time Series Analysis | Recommender systems | Agile Methodology | Team Leadership
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