Meet the Speakers for Kaggle Days Tokyo 2019
Tarin got her Ph.D in Classical Japanese literature and is now an assistant professor at ROIS-DS Center for Open Data in the Humanities, National Institute of Informatics. She is working on applying machine learning to make millions of historical documents in Japan more accessible by solving Kuzushiji character recognition. She is also the host of the Kaggle Kuzushiji Recognition Competition.
Kazuki Onodera is a competition grandmaster working as data scientist in DeNA. After graduated university, he worked as consultant which develops predictive model of default for banks for two years. After that, he joined Yahoo! JAPAN and developed predictive model for recommendation system. He can come up with complex feature engineering that nobody does. He does loves tabular competitions which improves his strength.
Tomohiro Takesako (Tom) received his Ph.D. in physics (particle cosmology) from the University of Tokyo (2014). Since then he has been working as an optics/electronics/software engineer in HIOKI E.E. Corporation, a hardware company. He started his Kaggle career in 2018. Recently he won 1st place in GAN competition and become a Competitions Master on Kaggle.
Yuji studied physics and obtained the BS and MS degrees at the University of Tokyo. He is working as an actuary and senior data scientist at AXA Japan. He had started to participate in Kaggle competitions seriously in 2017. He is a Competitions master.
Daisuke Kadowaki had worked for insurance companies as an actuary, and switched his career to data science and software engineering after enthusiastically participating in Kaggle.
Walmart Recruiting II: Sales in Stormy Weather winner, Coupon Purchase Prediction 3rd, Kaggle Tokyo Meetup organizer, “Data Analysis Techniques To Win Kaggle” author (written in Japanese).
Hideki Murata is Competition Master. He has been actively competing on Kaggle since July 2018 and considers himself a “full-time Kaggler”.
He has created content for beginners in Japan, and the “KaggleTutorial” he wrote is a popular book for beginners in Kaggle in Japan.
Ryuji Sakata is a data scientist and a researcher at Panasonic Corporation. He holds a master’s degree in Aeronautics and Astronautics at Kyoto University. After staring work he was involved in data science and machine learning, and most of his knowledge is based on Kaggle experiences. He is good at tabular data competitions and has a strong preference for simple solutions. He won the fifth solo gold medal in 2019 and became a Competitions Grandmaster.
Polong Lin is a Developer Advocate at Google focusing on machine learning and data engineering in the cloud. He is the creator of several online courses in data science, including on Coursera.
Polong has a background in Psychology and enjoys hearing about projects at the intersection of machine learning and human behaviour. Share your use case with him on Twitter @PolongLin
Tin-Yun is the product manager for AutoML Tables and Recommendations AI. Before joining Google he studied at Stanford where he got a Masters degree in CS (AI focus) and an MBA, and before that worked at the Gates Foundation. He is passionate about democratizing AI and applying it to hard impactful problems.
Da Huang is a researcher and engineer at Google Brain. He mainly focuses on AutoML research and applied in different Google product areas. He developed the AutoML modeling solution for Google Cloud AutoML Tables, which ranks 2nd in the Kaggle Days competition at Next ’19 San Francisco.
Jin Zhan is a competitions Grandmaster now working as data scientist. He had over 10 years of experience in software, infrastructure, data engineering before becoming a data scientist. He is passionate about solving the world’s toughest problems with machine learning. With that motivation in mind, he joined Kaggle just two years ago and has won 5 gold medals.
Walter Reade is a Data Scientist on the Kaggle competitions team. After earning a Ph.D. in chemical engineering from the Pennsylvania State University, Walter spent 15 years in industry working on a number of interesting and highly-challenging problems in research, manufacturing, and supply chain. Although his first Kaggle competition was a complete disaster, he worked his way into a Top 100 ranking before joining Kaggle shortly after their acquisition by Google.
Julia Elliott leads the Competitions team at Kaggle.She works with organizations to scope competitions that aim to solve difficult machine learning problems. Julia holds a degree in electrical engineering from the University of Pennsylvania and a MBA from the University of North Carolina at Chapel Hill. She spent the early part of her career in technology consulting and project management, and then building operations and customer success functions for early-to-mid-stage technology startups, with a focus on Enterprise products.
Dimitris is a Machine Learning Engineer.
He holds an Industrial Engineering Diploma from Democritus University a Masters in Systems Engineering and a Masters in Intelligent Information Systems from Aegean University among others. As member of the University’s Robotics Lab he co-programmed an awarded anthropoid robot which used CV for object detection and face recognition, NLP for Speech to Text, facial gestures for emotional expression etc. He also co-developed a GUI for easier graphical programming of robotic and IoT devices.
He completed his training on Computer Vision at Fujitsu Labs in 2018.
Dimitris took first place in 2017 and 5th in 2018 in the ImageCLEF challenge regarding biomedical images labeling. He has been instructor in many Deep Learning workshops as member of Machine Learning Tokyo among others. He works as an ML Engineer at LPIXEL, a Japanese startup that combines AI with Life Sciences.
His research interests span Mathematics, Optimization and Machine Learning.
Miki is a Customer Engineer at Google Cloud focusing on marketing analytics in the cloud. She holds a Masters Degree in marketing science, MBA from the University of Tsukuba. She’s organized GCPUG joshi kai and has published the notable: “Scalable Data Science, Shoeisha”.
Ryuichi Kanoh is a data scientist at DeNA, mainly working on automotive data analysis.
After getting his Master’s degree in Astronomy in 2016, he worked at Panasonic as a video compression technology researcher for two years.
As his career shows, he is interested in multiple data domains. Kaggle is a great platform for interacting with diverse and interesting datasets for him, so he loves competing on Kaggle.
He started competing on Kaggle from 2018 and has won 3 gold medals to date.
Ben is Kaggle’s co-founder and CTO. He leads the product, engineering, and design teams. He’s directly run over 40 competitions, including automated essay scoring, the GE flight quests, and the Neurips 2017 adversarial learning challenges. Ben created the product vision for Kaggle notebooks and datasets, leading them from initial development to large-scale adoption.
Prior to Kaggle, Ben applied machine learning to improve EEG-based brain-computer interface applications. This includes a virtual keyboard and telepresence robot.
Ben holds degrees in math, biomedical engineering, and electrical & computer engineering from Duke University.
Raja is the Founder and Chief Data Scientist at Data Science Dojo – a global leader in data science learning that has trained more than 4500 data science professionals from 1000+ companies around the world. Prior to founding Data Science Dojo, Raja worked at Microsoft in various research and development roles in large scale data mining, web search and online advertising.
Raja has a PhD in computer science with a focus on machine learning and data mining from Tulane University.
Kaggle Grandmaster, finance and banking graduate with over 10 years of experience, both as a specialist and an AI Team Leader. Passionate and self taught Data Scientist – he has taken part in 20+ international data mining / machine learning competitions achieving prize and won 6 of them.
Dmitry is a Kaggle competitions grandmaster working as a data scientist in Austria. He had several years of experience in data analytics for financial institutions, focusing on banking and credit scoring, after which he moved to a more general data science role. Over a year ago Dmitry co-founded “The Zoo” kaggle team and won 5 gold medals in tabular data, nlp, computer vision and signal analysis competitions. “The Zoo” won 2 out of 6 competitions they participated.