Hire data analysts near Manchester or in a similar time zone
Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, working in quant development, quant research, and options trading for multiple investment banks and hedge funds.
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Brendan Walsh, PhD
Dr. Brendan has over 10 years of experience in digital transformation and bespoke development projects. His experience at Accenture and Wood Group allowed him to work for some of the largest companies in the UK and Ireland across the telecommunications, energy, and retail sectors. As a freelancer, Dr. Brendan specializes in systems development, including business intelligence, data engineering, Azure iPaaS (Integration Platform as a Service), and Microsoft Dynamics 365 Business Central.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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Nicolas Keller
With a strong mathematical background (a master's degree in mathematics), Nicolas is a passionate data scientist who can contribute the ideal combination of machine learning knowledge, practical programming skills, and a problem solving and analytical mindset to a project. He has a demonstrated history of transforming business problems into data-driven solutions and recently has worked as a data scientist at the global insurance company, Allianz.
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Mohamed Ahmed
Mohamed is a senior data platform architect and staff data engineer with 19+ years of experience designing and scaling cloud data platforms for product companies. He specializes in lakehouse/medallion architectures, distributed processing, and governed data products, treating the platform as a product with clear contracts and great DX. He works fully remote with distributed teams, bridging strategy and execution as a hands-on architect and mentor.
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Ozan Özyüksel
Ozan is a data analytics manager with 15+ years of experience delivering business impact through data engineering, analytics, and visualization. He is skilled in executing data strategies and leading cross-functional teams to build scalable data solutions, optimize ETL pipelines, and design actionable dashboards. An expert in AWS Redshift, Tableau, SQL, Python, Oracle, and other technologies, Ozan transforms complex data into insights that drive strategic decision-making.
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Henrik Sergoyan
Henrik is a data scientist with 8+ years specializing in NLP, GenAI, and retrieval-augmented generation (RAG) solutions. He excels in building end-to-end data products—from collection, analytics, and deployment—with proficiency in SQL and NoSQL databases. Henrik has successfully led cross-functional teams to deliver AI-driven products, strategically designing and implementing advanced NLP architectures into impactful, production-ready solutions.
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Michał Porębski
Michał is an experienced ETL, data warehousing, reporting, and data visualization specialist with an academic background in statistics. His past projects include design and implementation of entire reporting and data warehousing setups, design and creation of reports and dashboards, data pipelines, and query optimizations. He has experience in all stages of data management—extraction, transformation, and analysis.
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Javier Saez Gallego
Javier is a passionate data scientist who builds data-driven software products and helps organizations transform numbers into optimal decisions. With a multidisciplinary background, he has analyzed highly dimensional datasets and built machine learning models—starting from the research stage to the implementation phase. Javier is careful, very organized, meticulous about planning always focusing on delivering the right solution.
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Giovanni Biondaro
Giovanni is passionate about data analysis with Python and machine learning. As a data scientist in one of the leading Dutch banks, he developed banking and credit risk models. Giovanni has built models to predict client behavior during a crisis, defined business strategies, attended investor meetings, and measured the validity of credit risk models used in banking, such as AIRB and IFRS9. Giovanni develops trading bots on cryptocurrency and sports betting markets in his free time.
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