Mark Andreev

// Contacts

// Projects

• Bigdata Indicators
• EnduringNet
• Tornado-swagger

// Talks

• "ML in production" at the FunTech ML-meetup

// Posts

• Tornado-Swagger | Tornado Extension

// Job

Conundrum.ai
Machine Learning Engineer
Software Engineering Machine Learning Deep Learning Statistics

// Technologies

Python
DS Toolkit Web classic/async Scrapping ETL

Java, C++
Spring Hibernate Cython

Postgres MongoDB RabbitMQ Kafka Docker Linux

BigData
Hadoop Spark

// Education

Lomonosov Moscow State University Master's degree Computational Mathematics and Cybernetics

Moscow Power Engineering Institute Bachelor's degree Institute of automatics and computer science

// Publications

A New Approach to Determining the Attitude of Authors of Short Texts to the Topics Discussed in the Texts on the Example of Estimating the Inflations Expectations, Oct 2017 DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS, DAMDID / RCDL’2017, Andreev M.

Big Data approach to measure inflation expectations: the case of the Russian economy, Jul 16, 2017 IFABS 2017 Oxford Conference, Goloshchapova I., Andreev M.

Measuring inflation expectations ofthe Russian population with the help of machine learning. Voprosy Ekonomiki. 2017;(6):71-93. (In Russ.), Goloshchapova I., Andreev M.