Hire Freelance Linear Regression Experts
Matthew de Marte
Matthew is a data scientist who has worked primarily in professional baseball, an incredibly fast-paced and demanding industry. He has utilized R and SQL databases with strengths relying on machine learning and predictive modeling to provide better data-driven decisions. Matthew is a fantastic problem solver with a data science skill set that can communicate technical findings to non-technical audiences.
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Nino Mumladze
Nino is a software engineer with five years of industry experience in back-end development and, more recently, in data engineering internships at Amazon and Facebook. She has both theoretical and practical knowledge in cloud computing and distributed systems backed by a bachelor's degree in computer science. Nino will also complete a master's degree in data engineering and analytics from the Technical University of Munich in 2021.
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Eugene Balkind
Eugene is a skilled data scientist with a strong academic and industrial background in time series analysis, LLMs, and other ML technologies. Eugene has created classification models that predict positive or negative outcomes of COVID-19 tests and models that determine whether a company is a good acquisition. He has also built data hubs, completed cross-validation testing, and adjusted and improved models to adapt to quickly changing requirements. He is also proficient in OpenAI API.
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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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Andrew Burnie
Andrew is an expert in extracting commercially valuable insights from data, with a specialty in text analysis. He has experience in the retail, insurance, and other financial sectors. Andrew earned a PhD in social media analysis, funded by the UK's national institute for data science and AI, and a master's degree in management and economics from the University of Cambridge. He enjoys using machine learning and statistics to help companies get the most out of their data.
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Arsine Sarikyan
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
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Neil Schwalb
Neil is an experienced data engineer focused on helping businesses make the most of their data by making informed decisions. He specializes in ETL processes, especially the transformation step that helps others focus on what matters in their work.
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Anne Charlotte Leysen
Charlotte is an experienced professional in data science and analytics. She has worked in various industries, including finance, digital marketing, online marketplaces, and mental health. She has co-founded two startups, where her primary role focused on development, optimization, and business intelligence. Charlotte has a strong work ethic and strives for efficiency, delivering a high standard of work that brings top results.
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Andrea Nalon
Andrea is a senior data scientist with extensive experience as a Python programmer and quantitative analyst. He holds a master's degree in engineering and several certifications in quantitative analysis and machine learning. He excels in data analysis, written communication, flexibility, and thinking out of the box. Among Andrea's most notable accomplishments is finding valuable consumer behavior insights for PepsiCo to help guide its marketing campaign across different sub-brands.
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Daphne Liu
Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
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Manuel Montoya Catala
Manuel is an enthusiastic senior data scientist with 3+ years of experience in consulting and a background in machine learning research. After several years of both business and academic experience, he acquired knowledge in diverse areas ranging from statistical analysis to deep learning. He is a results-oriented person with excellent communication skills. Manuel works with dynamic teams in the standard setup consisting of Python, AWS or Azure, Agile, Git, and Visual Studio.
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