About
Highly analytical and results-driven ML Engineer with a robust interdisciplinary background in software programming, data analysis, and business analytics. Adept at leveraging machine learning and data-driven insights to optimize complex systems, predict key outcomes, and drive strategic decision-making. Seeking to apply advanced technical expertise and business acumen to solve challenging problems in a dynamic environment.
Work
T-Bank (Test & Learn Lab)
|Product Analyst
Moscow, Moscow, Russian Federation
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Summary
In this Product Analyst role, I was responsible for data optimization, hypothesis testing, and customer journey mapping to inform product development and strategy.
Highlights
Performed comprehensive data optimization, processing, and analysis to support product feature development and strategic decision-making.
Conducted rigorous hypothesis testing to validate product assumptions and identify key areas for improvement, guiding iterative development cycles.
Developed detailed Customer Journey Maps (CJMs) using Unidraw and Miro, providing clear visualizations of user flows and pain points for cross-functional teams.
Analyzed key product metrics and optimized weight distribution for various product elements, contributing to enhanced user engagement and feature adoption.
Nornickel
|ML Engineer
Moscow, Moscow, Russian Federation
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Summary
As an ML Engineer, I focused on optimizing machine learning models and developing predictive solutions for HR challenges, enhancing operational efficiency and strategic insights.
Highlights
Optimized hyperparameter selection for clustering algorithms using advanced machine learning techniques, enhancing model performance and data segmentation.
Developed and deployed an ML-driven model for predicting employee churn (HR task), providing critical insights for talent retention strategies.
Osifyan Research Institute
|Software Engineer, Category 1
Moscow, Moscow, Russian Federation
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Summary
As a Software Engineer working 20 hours per week, I specialized in data optimization, processing, and system development to enhance operational efficiency.
Highlights
Executed comprehensive data optimization, processing, and analysis, improving data integrity and accessibility for research initiatives.
Developed custom software programs designed to optimize complex data systems, streamlining workflows and reducing manual effort.
Contributed to the architectural design and implementation of data-intensive applications, ensuring scalability and performance.
Research Institute of Computing Machines
|Python Programmer
Moscow, Moscow, Russian Federation
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Summary
As a Python Programmer, I optimized critical document management systems and provided essential database support to ensure seamless operations.
Highlights
Optimized the document management system for creating equipment purchase agreements on the website, significantly improving process efficiency.
Provided comprehensive database support, including maintenance, troubleshooting, and performance tuning, ensuring data availability and integrity.
Education
Central University
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Master's Degree
Computer Science
Courses
Machine Learning (ML)
Deep Learning (DL)
SQL
Innopolis University
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Additional Qualification Program
Machine Learning
Courses
Deep Learning
Generative Adversarial Networks (GAN)
Big Data Optimization
Moscow Aviation Institute (MAI)
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Additional Qualification Program
Business Analytics
Courses
Machine Learning in Business
Financial Analytics and Modeling
Data Visualization
Business Process Optimization
Moscow Aviation Institute (MAI)
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Bachelor's Degree
Software Programming
Courses
Economics
Econometrics
Probability Theory and Mathematical Statistics
Game Theory
Languages
Russian
English
Spanish
Skills
Programming Languages
Python, C++, SQL (PostgreSQL, Oracle, SQLite, Greenplum, MySQL).
Tools
Git, Airflow, VS Code, Jupyter, Hadoop, Hive, Unidraw, Miro, Tableau.
Libraries & Frameworks
pandas, NumPy, Matplotlib, Plotly, Scikit-learn, Seaborn, PyTorch, Flask.
Data Analysis & ML
Machine Learning, Deep Learning, Data Optimization, Hypothesis Testing, Predictive Modeling, Business Process Optimization, Financial Analytics, Data Visualization, Big Data.
Software Development
Software Programming, Database Support, System Optimization, Customer Journey Mapping (CJM).