Alexander Fitsaylo

ML Engineer

Moscow, RU.

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

→

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

→

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

→

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

→

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

Moscow, Moscow, Russian Federation
→
Master's Degree Computer Science

Courses

Machine Learning (ML)

Deep Learning (DL)

SQL

Innopolis University

Innopolis, Republic of Tatarstan, Russian Federation
→
Additional Qualification Program Machine Learning

Courses

Deep Learning

Generative Adversarial Networks (GAN)

Big Data Optimization

Moscow Aviation Institute (MAI)

Moscow, Moscow, Russian Federation
→
Additional Qualification Program Business Analytics

Courses

Machine Learning in Business

Financial Analytics and Modeling

Data Visualization

Business Process Optimization

Moscow Aviation Institute (MAI)

Moscow, Moscow, Russian Federation
→
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).