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Aysen Tatarinov
Data Scientist at Uber
Aysen Tatarinov is a highly skilled professional with a passion for driving product data science and user base growth through analytics, machine learning, and AI.
He boasts an impressive 12 years of experience in big data, complemented by 5 years in machine learning and 2 years in artificial intelligence, as well as 2 years in product and business analytics.
Aysen Tatarinov is well-versed in the full data analysis cycle, covering data preprocessing using distributed computing, data cleaning and reduction, feature engineering, and statistical interpretation.
His expertise includes the application of various machine learning methods such as random forest, BDT, SVM, logistic regression, clustering, natural language processing, and neural networks across a range of tasks including classification, regression, image and text classification, anomaly detection, and online learning.
Aysen Tatarinov is a distinguished Kaggle Master since 2013, ranked 71st in Kaggle user rankings, with top finishes in competitions hosted by companies like Facebook, Yelp, and Amazon.
His educational background includes a Master's degree in Mathematics and Physics from the Moscow Institute Of Physics And Technology (MIPT), and a Bachelor's degree in Mathematics and Physics from the same institution. Moreover, he pursued a Doctor of Philosophy in Physics and Philosophy at Texas A&M University.
In terms of professional experience, Aysen Tatarinov has held roles such as Machine Learning Software Engineer at Google, Data Scientist II at Uber, Data Scientist at The Honest Company, and Data Science Fellow at Insight Data Science.
Prior to these roles, he served as a Research Assistant at CERN, Texas A&M University, and the Joint Institute For Nuclear Research.
Aysen Tatarinov has also completed 19 Coursera courses specializing in 'Data Science', 'Big Data', 'Machine Learning', and 'Deep Learning'.
For further information and to explore his work, you can visit his GitHub profile at https://github.com/aysent, his Kaggle profile at https://www.kaggle.com/aysent, and follow him on Twitter at https://twitter.com/aysen_tatarinov.