Hire Freelance Linear Regression Experts
Matthew de Marte
马修是一名数据科学家，主要在职业棒球领域工作, 这是一个节奏快、要求高的行业. 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, 在亚马逊和Facebook的数据工程实习中. 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, 并调整和改进模型以适应快速变化的需求. 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
安德鲁是一位从数据中提取商业价值见解的专家, with a specialty in text analysis. 他在零售、保险和其他金融领域都有经验. Andrew earned a PhD in social media analysis, 由英国国家数据科学与人工智能研究所资助, 获得剑桥大学管理学和经济学硕士学位. 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. 她的经验包括设计实验过程，如数据收集, 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是一位经验丰富的数据科学和分析专家. She has worked in various industries, including finance, digital marketing, online marketplaces, and mental health. She has co-founded two startups, 她的主要职责是什么, optimization, and business intelligence. 夏洛特有很强的职业道德和追求效率, 提供高标准的工作，带来最好的结果.
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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. 经过几年的商业和学术经验, he acquired knowledge in diverse areas ranging from statistical analysis to deep learning. 他是一个注重结果的人，具有出色的沟通能力. Manuel在由Python组成的标准设置中与动态团队一起工作, AWS or Azure, Agile, Git, and Visual Studio.
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