Alexander Kononov

- Developed a recommendation system for user matching and ranking (python microservice, Airflow data pipeline) - Developed fraud detection system to prevent marketing incentives abuse - Ad-Hoc data analysis to support engineering and business decisions - Performed algorithms design and technology benchmarking with backend engineering team

- Applied neural networks, linear models, other machine learning techniques for prediction and classification; - Developed and applied Bayesian classification models for rock type classification; - Developed evolutionary-based optimisation algorithm in Python for automatic model calibration; - Automated calculation, analysis and reporting of results for geophysical studies; - Delivered results of my work in the form of technical trainings and webinars

Analysed clients strategic needs and developed software solutions proposals

- Worked on active client projects for all major oil companies in Russia, using various algorithms for predictive models - Supervised customised software solutions development with an in-house development team - Taught geostatistics, uncertainty quantification and spatial modelling courses

- Solved various client issues in domains such as multivariate statistical modelling, data preparation and analysis - Performed software testing in development centre

Developed automated dispatching control system software using C++ and in-house developing tools

Applied Mathematics and Computer Science