Hire Freelance H2O Developers and Engineers
Blake Byerly
Blake possesses both startup and large enterprise experience leveraging machine learning (deep learning and classical techniques) to drive value. He has applied machine learning to a variety of problems, including network event correlation, incident forecasting, resource-constrained scheduling, and eCommerce applications at scale.
Show MoreReema 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.
Show MoreRonak Khunt
Ronak is an experienced data scientist and software engineer. His background includes building machine learning models, deploying them in productions with bare-metal machines or Docker. At Booking.com, he built a review moderation classifier model that helped classify millions of reviews and predictive models to strengthen their position in a competitive market. His expertise includes building robust data and prediction pipelines.
Show MoreBhoumik 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.
Show MoreCarlos J. Gil Bellosta
Carlos has 17 years of experience in data science in domains such as IoT, financial risk, credit scoring, churn analysis, biotechnology, and eCommerce. His international industry experience is backed by completing all courses toward a PhD in statistics and a master's and bachelor's degree in math. In addition to being an active contributor to the ecosystem of R packages, Carlos shares his expertise by giving talks and teaching data science at universities and business schools.
Show MoreIoannis Melas
Ioannis is a data scientist with expertise in prototyping, developing, and deploying data science and ML workflows that best leverage business data. This includes exploratory analysis such as dimensionality reduction, clustering, feature extraction, model fit/parameter estimation, and supervised analysis such as classification and regression. Ioannis is an expert in structured and unstructured data (NLP). Some of his notable clients include the U.S. Food & Drug Administration and AstraZeneca.
Show MoreMoustafa Abdelhamid
Moustafa is a software and data engineer with 11 years of experience designing, building, and running software systems. He has a proven track record of delivering high-quality software that is reactive and scalable. Moustafa has diverse skills beyond building software, such as infrastructure and CI/CD pipelines, ETL/ELT pipelines, and modeling. He has worked with various data technologies like Spark, Kafka, Snowflake, and BigQuery.
Show MoreRenee Ahel
Renee is a data scientist with over 12 years of experience, and five years as a full-stack software engineer. For over 12 years, he has worked in international environments, with English or German as a working language. This includes four years working remotely for German and Austrian client companies and nine months working remotely as a member of the Deutsche Telekom international analytics team.
Show MorePavel Logacev
Pavel is a data scientist with a specialization in Bayesian methods. He has a master's degree in computational linguistics and a Ph.D. in cognitive science from Potsdam University in Germany. Having worked in sectors as diverse as pricing, psychology, finance, education, health, eCommerce, SEO, and betting markets, Pavel has over ten years of experience in statistical data analysis and data science.
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