Engineer Data

Ilya Fastovets

628-***-**** · ****.*********@*****.***

https://www.linkedin.com/in/ilya-fastovets/

https://github.com/fastovetsilya

San Francisco, CA · Willing to relocate

Data Scientist / Machine Learning Engineer

Research data scientist / machine learning engineer with 7 years of experience and academic background in chemistry, biology, and soil science. My primary field of expertise is the research of artificial intelligence methods for automation and optimization of crop production in a fully controlled environment. Data Analytics Machine Learning Deep Learning Computer Vision Python R SQL AWS RELATED EXPERIENCE

Data Scientist / Machine Learning Engineer Nov 2019 Now Genly, Santa Monica, CA

● Increased company revenue by 15% by strategic analysis of data

● Improved efficiency of operations by building Bayesian techniques for real time decision making

● Utilized computer vision and natural language processing methods to model asset performance Self-Employed Machine Learning Engineer Aug 2018 Nov 2019 San Francisco, CA

● Developed algorithm for time series analysis based on neural networks for financial data

● Developed computer vision software for real-time image classification Research Data Scientist / Machine Learning Engineer Jul 2017 Aug 2018 Skolkovo Institute of Science and Technology, Moscow, Russia

● Created an IoT-enabled infrastructure for smart 50000 ft greenhouse to maximize agricultural production

● Developed a Bayesian algorithm to optimize seed germination process

● Experimented with reinforcement learning applied to decision making in agriculture Research Data Scientist Nov 2015 Aug 2018

Dokuchaev Soil Science Institute, Moscow, Russia

● Applied statistical analysis of extremely rare events to study genotoxic effects in plant cells

● Performed data analysis for pot experiments

● Developed an approach for statistical analysis of mixed samples Researcher / Statistician Jan 2012 Nov 2015

Lomonosov Moscow State University, Moscow, Russia

● Led a team of 7 researchers in field studies of greenhouse gasses in West Siberia

● Used nonparametric and parametric statistics to study the effects of heavy metals on plants

● Performed robust statistical analysis of the research data EDUCATION

Skolkovo Institute of Science and Technology, Moscow, Russia PhD in Data Science Did not complete

Lomonosov Moscow State University, Moscow, Russia

Master of Science in Soil Science, Agronomy and Crop Science 2017 Bachelor of Science in Soil Science, Agronomy and Crop Science 2015 RELATED PUBLICATIONS

Nikitin, A., Fastovets, I., Shadrin, D., Pukalchik, M., & Oseledets, I. (2019). Bayesian optimization for seed germination. Plant methods, 15(1), 43.

Somov, A., Shadrin, D., Fastovets, I., Nikitin, A., Matveev, S., & Hrinchuk, O. (2018). Pervasive agriculture: IoT-enabled greenhouse for plant growth control. IEEE Pervasive Computing, 17(4), 65-75. Kotelnikova, A., Fastovets, I., Rogova, O., Volkov, D. S., & Stolbova, V. (2019). Toxicity assay of lanthanum and cerium in solutions and soil. Ecotoxicology and environmental safety, 167, 20-28.

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