Alexander Matviiuk Email & Phone Number

Supporting and developing Regular Demand Forecasting platform for X5 Retail.

- Analyze the effectiveness of advertising campaigns using machine learning and econometric models to increase sales and ROI (Marketing Mix Modeling).- Build and maintain predictive models to achieve customer`s KPI based on time series models, regression analysis, clustering and classification algorithms.- Optimization of future advertising campaigns of clients: assessment of the optimal advertising budget, optimization of its media split by communication channels and distribution… Show more - Analyze the effectiveness of advertising campaigns using machine learning and econometric models to increase sales and ROI (Marketing Mix Modeling).- Build and maintain predictive models to achieve customer`s KPI based on time series models, regression analysis, clustering and classification algorithms.- Optimization of future advertising campaigns of clients: assessment of the optimal advertising budget, optimization of its media split by communication channels and distribution throughout the year.- Develop the tools for parsing external data and deploy it to production. Show less

- Big data analysis to identify non-obvious dependencies using ML algorithms based on time series data in Analytics Tool for NFT collectors.- Develop and implement tools for scoring NFT collections.- Design experiments for calculation statistical indicators in MongoDB.- Built dashboards in Google Data Studio and ETL processes based on Airflow.

Москва, Москва, Россия

Participate in projects to improve machine learning and predictive models in order to apply them to the Bank's business processes.- Validate ML models for corporate-investment business (CIB): scoring, antifraud, collection models, news monitoring based on tabular data, NLP, CV.- Improve or develop alternative ML models to achieve better business metrics.- Analyse data quality and the impact of the model on the business, model monitoring, model implementation and model usage.-… Show more Participate in projects to improve machine learning and predictive models in order to apply them to the Bank's business processes.- Validate ML models for corporate-investment business (CIB): scoring, antifraud, collection models, news monitoring based on tabular data, NLP, CV.- Improve or develop alternative ML models to achieve better business metrics.- Analyse data quality and the impact of the model on the business, model monitoring, model implementation and model usage.- Advise model owners and developers on improving models and metrics monitoring for deployed models.- Evaluate Model Risk of CIB models to calculate the financial effect of model implementation.- Develop the tools for monitoring model's metrics degradation in production. Show less

Санкт-Петербург, Россия

- Applied machine learning algorithms to detect anomaly of the vacuum circuit breaker operation time.- Preprocessed data, analysed distributions and patterns in experimental data, A/B testing, data visualization.- Developed a tool to preprocess input stress-strain curves for subsequent use in software system for finite element analysis using Python.- Applied mathematical statistics and probability theory to analyse the future risk to fail tests.- Engaged in the development of… Show more - Applied machine learning algorithms to detect anomaly of the vacuum circuit breaker operation time.- Preprocessed data, analysed distributions and patterns in experimental data, A/B testing, data visualization.- Developed a tool to preprocess input stress-strain curves for subsequent use in software system for finite element analysis using Python.- Applied mathematical statistics and probability theory to analyse the future risk to fail tests.- Engaged in the development of outdoor switching device which was successfully launched into mass production. Show less

Master'S Degree, Applied Physics And Mathematics, 4.5

Bachelor'S Degree, Applied Physics And Mathematics, 4.5