Hire remote Data analysts near Berlin or in a similar time zone
Sebastián Castaño
Sebastian has a PhD in AI/ML and over 10 years of experience in interdisciplinary projects across neuroscience, finance, marketing, and consumer products, among other domains. Experienced in designing and deploying end-to-end AI systems and leading teams to deploy production-ready solutions in enterprise and startup environments, Sebastian creates intuitive AI tools and data-driven insights that drive business impact by combining deep technical expertise with actionable results.
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Mohamed Ahmed
Mohamed is a big data platform architect with 15 years of experience in the IT industry. He excels with distributed systems, data engineering, machine learning, and DevOps. Mohamed builds robust batch and real-time data platforms for stakeholders and moves companies to state-of-the-art data platforms. He designed GDPR-compliant data lakes and optimized an ETL pipeline, which saved the client hundreds of thousands of dollars annually. Mohamed is pragmatic and has an agile mindset.
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Elizabeth Eardley, PhD
Elizabeth is a versatile data scientist, combining a strong scientific background from postdoctoral research with six years of industry experience, including Booking.com and Skyscanner. She excels at applying scientific techniques to data to support and automate decision-making, optimize products, and uncover actionable insights. Elizabeth has conducted extensive A/B testing and built and scaled multiple online experimentation platforms and optimization programs.
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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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Karol Kulasiński
Karol is a highly experienced senior data scientist with a strong focus on NLP and wide AI applications. He has a unique academic background in physics and large-scale models, in addition to relevant experience in the customer-facing data science industry. He enjoys working with data and leading and implementing R&D projects. With his PhD in physics and the recent MBA degree, Karol combines easy technology and business.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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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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Ante Mijic
Ante is a DWH expert with strong SQL skills and proficiency in SSIS and Informatica ETL tools. On top of that, he is able to bring data to life by using any of the reporting tools at his disposal. He easily transforms the client's user requirements into meaningful and easily accessible reports and visuals.
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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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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, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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