Dipl.-Ing. Ksenia Legostay

- improving real-time ML fraud detection models, - developing return prediction ML models for e-commerce, - developing ML framework for estimating and forecasting key financial metrics like fraud and credit values at risk.

- data analysis on financial transactional networks including Ethereum blockchain. - developed a recommender system for enterprises using APRIORI frequent itemset mining. - design and implementation of prototypes (R/Python), pattern mining on unlabelled transactional real-world data - detection of fraudulent Ponzi schemes in financial networks - unsupervised node segmentation in financial transaction networks with self-modified Node2vec - solvency analysis using time series forecasting (ARIMA)

Managed teams up to six people (designers, developers, analysts, testers) in web/mobile development. - supervised 2 projects of mobile Android apps commissioned by the third biggest social network in Russia odnoklassniki.ru and led a technical support project for the leading russian telecom provider tele2.ru - worked on scrum methodology, was responsible for creating a product roadmap, deadline compliance, budget planning, customers/partners/stakeholder communication

- BI reports design & its scripting automation - analysis of e-commerce metrics in Google Analytics, A/B testing & interpretation - wrote product technical documentation

Managed several development teams over two years, launched over 10 projects of social public e-services for citizens. All of them were integrated with third-party information systems and available on the government e-services portal of the Tatarstan Republic, which audience is over 200 000 people.

Focus on: - Information systems - Data analysis - Economics and Management - Machine Learning and Data Science - Network Analysis and Graph Theory - Recommender Systems - Database Technology - Time Series Analysis - Multivariate Analysis / Business Statistics

Focus on: - Corporate Management - Finance - Accounting - Project Management - Marketing

Focus on: - Applied Mathematics - Statistics - Probability theory - Mathematical logic - Differential equations - Linear algebra - Mathematical analysis - Physics - Programming and Algorithmic Languages - Geometry