Doświadczenie w pracy:
08-2017 - 06-2019
Calculator-design engineer
PJSC "Research qnd production enterprice "Aerosila"
- Analysis and calculation of the strength of fast-rotating rotors of the VGTE (auxiliary gas turbine engine);
- Design of the VGTE power unit drive gearbox;
- Calculation of the influence of vibrations of rotating parts on the overall strength of the machine;
- Studying the durability of motor bearings under various operating conditions.
Achievements
- Successful solution of the problem of detuning the critical speeds of the main rotor of the engine from the working ones by using elastic rings in its supports;
- Increase in the service life of the engine up to the 1st repair by 10% due to the reduction of the dynamic load on the bearings;
- Creation of a calculation complex based on Microsoft Excel for the initial assessment of all types of moments of inertia of the rotor without building a three-dimensional model and using finite element analysis.
MAIN TOOLS: finite element analysis module in Siemens NX, AutoCAD, Microsoft Office, internally developed calculation programs of the enterprise.
03-2022 - now
Data Scientist and Developer Analyst
JSC "Legal Collection"
At the moment I work in a debt collection agency in the planning and risk management department as an analyst-developer.
Main responsibilities:
- creation of automated systems for calculating and evaluating debt portfolios for payback and profitability based on machine / deep learning and generative statistics when working with big data;
- constant monitoring and timely retraining of machine and deep learning models, assessment of their relevance and quality control;
- in some cases, direct assessment of incoming debt registers for payback and profitability by means of automated calculation;
- highly specialized analytical studies of various kinds required by the Customer.
Achievements:
- creation of a single automated calculation and analytical center based on a decision tree, which includes all the necessary models and algorithms for calculating and evaluating and updating data models, which itself chooses the necessary strategy for conducting the register according to the necessary models, depending on its structure. The entire operation of the algorithm is fully automated and only requires a person to transfer the register to it. This significantly reduced the processing time for a single debt registry, increasing the productivity of debt registry evaluation analysts, reducing human error, and optimizing server memory and CPU usage.
- full automation of the generation of all necessary periodic reports of the department and independent extraction by algorithms of the necessary calculated data from a database or the Internet
- as part of a team of 3 people, he took part in the creation of a machine learning model specializing in predicting collections from the registry and assessing the payback and profitability of the registry;
- independently refined another machine learning model, also created for evaluating debt registers, reducing the error and creating an automatic retraining system in it when the algorithm error increases above a critical level.
Edukacja:
08-2013 - 08-2017
Jet engine design engineer
National Research University "Moskow Aviation University"
He studied at the Department of Aircraft Engines, additionally had an internship at an enterprise specializing in the design of engines, after which he received a bachelor's degree in the specialty "Design engineer of air-breathing engines".
He was also a member of the student union and led the department that organizes concerts and mass entertainment events, for which he constantly received a grant for an increased scholarship.
Main achievements:
- was part of a team that united the trade unions of several universities into a common allied organization, with the aim of interacting and helping each other in a number of issues;
- was also a member of the team of founders of the environmental organization "EcoStupino" at the district level, which fought for the separation of waste.
Umiejętności zawodowe i inne:
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