Valeriy Manokhin, PhD

Valeriy Manokhin, PhD — ML Researcher & Educator

Dr. Valeriy Manokhin (PhD, MBA, CQF) is a machine learning researcher specialising in time series forecasting, conformal prediction, and uncertainty quantification. Author of Mastering Modern Time Series Forecasting and Kiselev's Arithmetic. Instructor to 100,000+ learners on Maven and YouTube.

Books

Mastering Modern Time Series Forecasting — comprehensive guide to ARIMA, Prophet, LightGBM, deep learning, and forecastability metrics. 1,700+ copies sold.
Kiselev's Arithmetic — first complete English translation of Russia's legendary arithmetic textbook.

Courses on Maven

Modern Forecasting Mastery — 4.8/5 stars (24 reviews). Build production-ready forecasting systems.
Applied Conformal Prediction — 4.7/5 stars (37 reviews). Distribution-free uncertainty quantification.

Research & Open Source

Awesome Conformal Prediction — one of the most-starred conformal prediction repositories on GitHub. PhD in Machine Learning from Royal Holloway, University of London, supervised by Professor Vladimir Vovk.

Connect

Twitter/X · LinkedIn · GitHub · Medium · Google Scholar

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