Hire Freelance Gradient Boosting Specialists
Sergey Antopolskiy
Sergey is an expert data scientist and machine learning engineer. He has solved data analytics, visualization, and modeling problems and developed architecture and pipelines for data-centered workflows. He automated manual production steps in drug manufacturing using ML models, which led to a throughput increase of 200%. Sergey has a scientific background with extensive industry experience and understands complex problems in-depth to create the most suitable approach to generate business value.
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Shashwat Khanna
Shashwat is a seasoned professional with almost ten years of work experience in core data science. He has rich experience designing, developing, and deploying machine learning models for clients across the banking, financial services, insurance, retail, eCommerce, and healthcare sectors. Shashwat is currently in charge of end-to-end product analytics for Shopify's recently launched product.
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Felipe Costa Farias
Felipe has a Ph.D. in machine learning and a professional software development background. He has worked with machine learning since 2011 and has the experience and skills necessary to fulfill AI/DS roles, from development to team management. Felipe has applied AI to several areas, such as computer vision, natural language processing, time series, bioinformatics, and pharmacy. He is a quick learner with excellent knowledge of Python and artificial intelligence.
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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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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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Bhoumik Shah
Bhoumik is a machine learning and operations research specialist with six years in AI, notably in ads moderation, linehaul cost optimization, and McKinsey's routing tool. He's excelled in cost reduction and system efficiency, adept with jsprit, OR-Tools, and ML model development. With both a bachelor's and master's degree in mechanical engineering, with a focus on operations research, Bhoumik also holds certifications in deep learning and related fields.
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Brenda Oliveira Ramires
Brenda is a data scientist trained in computer engineering, and she's passionate about optimizing processes in retail and consumer goods. She has deep expertise in using machine learning and data science to research and implement optimized strategies for retail assortment and pricing. Brenda excels at developing and delivering elegant data and machine learning solutions while working as a remote freelance developer.
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Eriksson Monteiro
Eriksson possesses a PhD in computer science and is an experienced full-stack developer and machine learning engineer. For the past five years, he's built web and mobile applications and has participated in several machine learning tasks in diverse data science fields. He's particularly good at working with application frameworks such as Django, Play Framework, and Node.js.
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Maximilian Hopf
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He is an expert in the finance and healthcare domains. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max also built and led the data team of Garner Health for one of the most successful US healthtech companies, scaling the team from one to 25 people and more than $100 million in annual revenue.
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Ovchinnikov Grigoriy
Ovchinnikov is a data scientist with over three years of data analysis and machine learning experience. He has a strong knowledge of classical ML algorithms, statistics, and proficiency while working with ML frameworks and databases for solving problems. Ovchinnikov is also well-versed in handling big data for modeling and data analysis.
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Reema Kumari
Reema has 4+ years of experience in machine learning and data analytics across various projects, such as movie scheduling, cargo space optimization, loan recovery, and digital products. She has focused heavily on natural language processing in the digital product space, and she is proficient in Python and R. Reema is also an incoming student in the UCLA Master of Engineering program, focused on artificial intelligence.
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