At H2O.ai we are incredibly proud that 20 of the world’s 300+ total Kaggle Grandmasters call H2O home, including three Kaggle Grandmasters who have made it to world #1.

Branden Murray

Branden Murray

Grandmaster
Competitions

Branden’s focus is on applying machine learning to a wide variety of problems. He works on the machine learning and data science behind H2O.ai’s award-winning applications in collaboration with PwC.

Branden graduated from San Diego State University with a B.S. in Finance. Before joining H2O he did business intelligence reporting and analytics in the home warranty industry.

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Dmitry Larko

Dmitry Larko

Grandmaster
Competitions

Dmitry’s focus areas are machine learning, feature engineering and automatic machine learning (AutoML).

Dmitry graduated with honours from Siberian Federal University with a Master’s degree in Computer Systems. He discovered Kaggle in 2013 and has been enjoying it ever since.

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Dmitry Gordeev

Dmitry Gordeev

Grandmaster
Competitions

Dmitry’s focus areas are machine learning, as well as natural language processing, deep learning and time series competitions.

Dmitry graduated with honours from Moscow State University with a degree in Data Mining and has 10+ years of experience with machine learning applications in banking risk management and insurance.

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Fatih Ozturk

Fatih Ozturk

Grandmaster
Competitions

Fatih’s focus areas are structured datasets, feature engineering, ML modeling and validating.

Fatih graduated from Boğaziçi University, Turkey in 2017 and obtained his BSc degree studying Industrial Engineering. He worked in a startup and leveraged machine learning algorithms mostly for insurance related projects.

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Gabor Fodor

Gabor Fodor

Grandmaster
Discussions
Competitions

Gabor’s focus areas are feature engineering, machine learning, time-series forecasting and audio classification.

Gabor holds two master's degrees in Mathematics and Computer Science from Budapest University of Technology and Economics. He has ten years of experience in data analysis and data science.

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Guanshuo Xu

Guanshuo Xu

Grandmaster
Competitions

Guanshuo’s focus areas are neural networks, image forensics and steganalysis.

Guanshuo holds a PhD in Electrical Engineering focused on machine learning based image forensics and steganalysis.

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John Miller

John Miller

Grandmaster
Notebooks

John’s focus areas are machine learning interpretability and data visualization.

John has a master’s degree in Mechanical Engineering and Business Operations from the Massachusetts Institute of Technology. He previously worked as an operations consultant using machine learning and applied statistics.

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Kim Montgomery

Kim Montgomery

Grandmaster
Competitions

Kim’s focus areas are interpretable/explainable machine learning and addressing bias in machine learning. She’s an expert in feature engineering, a skill she has applied to a variety of fields.

Kim has a Ph.D. in applied mathematics, with a background in both predictive modeling and differential equations. She has 20+ years of experience in mathematical modeling.

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KunHao Yeh

KunHao Yeh

Grandmaster
Competitions

KunHao’s focus areas are computer vision, natural language processing, time-series, and reinforcement learning problems.

KunHao holds a Master's degree in Computer Science from National Chiao-Tung University in Taiwan, on multi-armed bandit problems and reinforcement learning applied to computer games, including but not restricted to 2048 AI and computer Go AI.

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Marios Michailidis

Marios Michailidis

Grandmaster
Discussions
Competitions

Mario’s focus areas are acquisition, retention, recommendations, uplift, fraud detection, and portfolio optimization.

Marios holds a BSc in Accounting Finance from the University of Macedonia in Greece and an MSc in Risk Management from the University of Southampton. He obtained his PhD in Machine Learning from the University College London (UCL) with a focus on ensemble modelling.

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Mark Landry

Mark Landry

Grandmaster
Competitions

Mark has provided data science support on several H2O.ai products as well as led the data science behind the award-winning applications in collaboration with PwC.

Mark's prior experience includes data science, business intelligence, and data warehousing roles within health care, hospitality, and manufacturing companies.

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Mathias Müller

Mathias Müller

Grandmaster
Competitions

Mathias’s focus areas are automatic machine learning for time series.

Mathias holds MSc in Computer Science with a focus in AI and ML from Humboldt University of Berlin.

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Olivier Grellier

Olivier Grellier

Grandmaster
Discussions
Notebooks

Olivier leads the Grandmaster team at H2O.ai. He focuses on time series, computer vision and data drift.

Olivier graduated from Supelec, France, and holds a Ph.D. in Signal Processing. He has 15+ years of experience across airline IT, consulting, and finance. During his journey, he engaged in software engineering, data science, project management, and team leading.

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Parul Pandey

Parul Pandey

Grandmaster
Notebooks

Parul focuses on the intersection of H2O.ai, data science and community. Her focus is to contribute to the products as well as make the community aware of the recent developments in the open source development at H2O.ai She is an active speaker and writer in the field and as a result she was awarded the Linkedin’s Top Voice in the Software Development category in 2019. Recently, she was named as one of the 21 Women in '21 by INDIAai.

Parul has a degree in Electrical and Electronics engineering with honors. Prior to H2O.ai, Parul worked in the power distribution industry, employing data based techniques and analysis to work on systems like SCADA and GIS.

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Philipp Singer

Philipp Singer

Grandmaster
Discussions
Competitions

Philipp loves utilizing his passion and skills in machine learning, statistics, and data science in order to enable data-driven decision making and he is always eager to delve into new bleeding-edge fields and technologies. His top area of focus is deep learning and its applications to areas such as computer vision.

Philipp obtained a Ph.D. in computer science with honors at the Technical University of Graz where he also finished his Master’s in Software Development and Business Management. He has been published in seminal conferences and journals, and has year-long experience in applied machine learning.

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Rohan Rao

Rohan Rao

Grandmaster
Discussions
Competitions
Datasets
Notebooks

Rohan enjoys architecting machine learning solutions particularly within the personalization and recommendations space through user-facing products and constantly aims to simplify user experience with various technologies.

Rohan completed his MSc in Applied Statistics from IIT-Bombay. He has 7+ years of experience building machine learning products and solutions across various industries.

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Ryan Chesler

Ryan Chesler

Grandmaster
Discussions

Ryan’s focus is robustly solving real world problems of any type. He puts an emphasis on deep error analysis, understanding weaknesses of models and how to eliminate them.

Ryan completed his BS in Business Entrepreneurship at Arizona State University. He has been an active member of the San Diego data science community for several years and organizes the San Diego Machine Learning meetup sharing knowledge and teaching newcomers to the field. He has earned gold and silver medals in competitions tackling problems ranging from natural language processing, indoor localization, computer vision, satellite imagery, audio detection, motion prediction of self-driving cars and tabular. Ryan enjoys discussing technical problems, sharing insights and reached a peak of 12th on the Kaggle discussion rankings.

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Shaikat Galib

Shaikat Galib

Grandmaster
Competitions

Shaikat’s focus areas are detection, classification, segmentation on 2D and 3D images and natural language processing.

Shaikat has both a Masters Degree and a PhD in Nuclear Engineering from Missouri University.

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Shivam Bansal

Shivam Bansal

Grandmaster
Notebooks

Shivam helps customers in the domains of Insurance, Healthcare, Banking, and Retail to solve large scale business problems using AI and data science.

Shivam Bansal is a Senior Data Scientist and a Kaggle Grandmaster at H2O.ai. He holds a master's degree from the National University of Singapore, and was Valedictorian of his cohort. He is the multi-year winner of Kaggle’s Data Science for Good Competition and the winner of several other offline and online AI / Data Science competitions. Shivam brings a practical and solution-driven business-side experience in his solutions. He has extensive cross-industry and hands-on experience in building data science products and applications.

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Yauhen Babakhin

Yauhen Babakhin

Grandmaster
Competitions

Yauhen’s focus is on the deep learning area. Specifically, in the area of computer vision and its various applications. Yauhen has developed an AutoML functionality for computer vision problems used in H2O.ai’s Driverless AI.

Yauhen holds a Master’s Degree in Applied Data Analysis from the Belarusian State University. He has 6+ years of experience in Data Science having worked in the Banking, Gaming and eCommerce industries.

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