Aleksey T.

Aleksey T. has a diverse work experience spanning various roles and responsibilities. Aleksey is currently working at Inworld AI as a Staff Machine Learning Scientist and Head of Research since July 2022. Additionally, Aleksey has been an Independent Researcher since June 2015.

Prior to their current roles, Aleksey worked at Yandex Technology GmbH as Chief Analyst from June 2015 to March 2022. Aleksey'sresponsibilities included supporting new product launches, formulating KPIs and metrics, analyzing behavior patterns, and providing market analysis research. Aleksey also developed tools and managed a team of analysts.

Before Yandex Technology GmbH, Aleksey worked at Yandex from March 2011 to May 2015. Aleksey served as the Head of Search Analytics group, where they supported new product launches, conducted market analysis research, managed a team of analysts, and developed tools for market analysis. Aleksey also held the role of Search Analyst at Yandex from September 2010 to March 2011.

Prior to their roles at Yandex, Aleksey was the CTO and co-founder at Сorelogis from 2005 to 2010. Aleksey'sresponsibilities included being a lead analyst, system architect, and project manager. Aleksey was involved in designing and developing a prototype of a DLP-like system.

Aleksey's early work experience includes being a Developer, Analyst, and Postgraduate at the Laboratory of Computer Systems CMC MSU from 2002 to 2005. Aleksey was responsible for research and development, specifically in the visualization and analysis of distributed software and hardware systems. Aleksey also worked as a Developer and later a Lead Developer at AlphaSquare, a web studio, from 1999 to 2002.

Overall, Aleksey T. has proven their expertise in machine learning, research, analytics, and system development throughout their career.

Aleksey T. completed their Master of Science (M.S.) degree in Computer Science from Lomonosov Moscow State University (MSU) from 1997 to 2002. Aleksey has also obtained several additional certifications, including Practical Machine Learning, Regression Models, Automata, Exploratory Data Analysis, Getting and Cleaning Data, Statistical Inference, R Programming, Introduction to Artificial Intelligence, Apache 2.0 Administration, C++, Java 2 Fundamentals, Python 2.4, CGI Implementation, TCP/IP, C, Interpersonal Communications, Network Technician, OO Concepts, PHP4, and Perl. The specific years of completion for the certifications vary.