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Capital.com is a regulated platform committed to building the world’s best trading experience. Capital.com helps more than 450k traders from all over the world to achieve their trading goals.Responsibilities and impact:- Leading distributed team of data scientists, analysts and engineers from scratch to 12 people;- Design and development of the operational data product from scratch leveraging modern data stack: AWS, dbt, k8s, airflow, spark, kafka, python;- Implementing data-driven impact tracking framework for measuring ROI and performance of the AI-based product;- Utilizing machine learning and statistical analysis techniques for behavioural analysis of clients;- Establishing processes and leveraging data tools to reveal the insights hidden within huge volumes of structured and unstructured data;- Delivering data and insight that is critical to the strategic decision making across all levels of the company.

Banuba is an artificial intelligence lab specialising in Face AR technology development.Responsibilities and impact:- Leading data analytics department of 10 people: data analysts, data engineers, data platform engineers;- Building a comprehensive BI solution for analysis of mobile applications which lead to data-driven decision-making optimisation and ~30% revenue increase;- Partnering with a cross-functional team of product and marketing managers to lead Banuba to the best decisions;- Leveraging a broad stack of technologies – python, AWS, SQL, tableau, redash, vertica, postgres, etc – to reveal the insights hidden within massive volumes of data;- Working with third-party services – amplitude, appsflyer, adjust, google analytics, etc – to deliver valuable insights to decision makers.

Belarusian State University is the leading university in Belarus.Responsibilities and impact:- Member of the Department of Functional Analysis and Analytical Economics;- Teaching of probability theory and mathematical statistics;- Leading courses on machine learning and quantitative finance; - Conducting research on differential systems with generalised and random components.

DEIP is a blockchain company, helping people identify and commercialise intangible assets. For this DEIP has created a digital platform that enables efficient discovery, exchange, and liquidity of technology.Responsibilities and impact:- Founding team member;- Growth of the company to 20 people and $10m valuation;- Establishing all the processes in the company including product development and marketing;- Design core technology: mathematical models of the reputation system, and algorithms for decentralised assessment.

Capital.com is a regulated platform committed to building the world’s best trading experience.Responsibilities and impact:- Leading team of 3 data scientists;- Implementing statistical techniques and machine learning algorithms to identify psychological patterns that may affect clients trading behaviour; The system increased profitability of traders by 10%;- Designed and performed analysis that uncovers insights helping grow business from 0 to 450k+ traders and hundreds of millions annual revenue;- Utilizing ML and NLP techniques and text vectorisation algorithms – tf-idf, word2vec, etc – for financial news recommendation system.

Capital.com is a regulated platform committed to building the world’s best trading experience.Responsibilities and impact:- Leading the development of platform's backend services with the team of 30+ engineers;- Identify new business opportunities to drive engagement and profitability;- Assisting with relevant data analysis to help understand business needs and fit of the product features as well as improvements need to be made;- Development of hedging strategies and monetisation models for the company.

exp(capital) is a privately owned market making company, applying maths and technology skills to take advantage of the opportunities being created on the global financial markets.Responsibilities and impact:- Design of the trading algorithms based on machine learning and statistical techniques – gradient boosting, random forest, svm, time-series analysis, linear algorithms, clustering, etc;- Implementation of the algorithms for proprietary high-frequency trading with 1b+ trading volume;- Deep analysis of structure of financial markets – order book analysis, identification of price movers;- Analysis and backtesting of performance of the trading algorithms – statistical arbitrage, market making algorithms, etc.

Founded in 1989, ScienceSoft is a US-headquartered provider of IT consulting services and custom software development for the customers like Walmart, IBM, Nestle, eBay and NASA JPL, as well as many other large and midsize organisations located internationally.Responsibilities and impact:- Finished few projects related to marketing and financial analytics for Fortune 500 companies;- Implementing linear models to predict PPC metrics.

With offices in 14 countries and over 1000 staff, IG is a global leader in online trading. Through the range of award-winning platforms and apps, IG provides their clients with fast and flexible access to over 15,000 financial markets – including indices, shares, forex and commodities.Responsibilities and impact:- Collaborating with engineers and other cross-functional teams to build scalable data infrastructure to satisfy a wide range of requests from marketing, sales and product teams;- Perform analyses on large data sets to provide insights and actionable recommendations;- Building real-time reporting capabilities for mobile marketing team which lead to ~2 times CaC reduction;- Design and implementation of LTV prediction algorithms based on machine learning techniques: random forest, decision trees, linear regression.

Institute of Physics and Engineering of the National Academy of Science is a scientific institution that consists of 4 research and development and research and production centres, 2 scientific departments, 5 independent laboratories, test production. As a researcher I have been working for the research and production center of complex modelling and UAVs.Responsibilities and impact:- Author of 5+ scientific articles and patents in the field of unmanned aerial systems research and development;- Mathematical modelling of complex unmanned aerial systems and environmental effects using MATLAB which helped to reduce costs for production tests at least for 3 times;- Transfer and technical description of the designed algorithms for embedded systems implementation;- Investigation of the incidents and anomalies of flight telemetry using statistical methods and machine learning.