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Resume

Work
Experience

November 2021 - September 2023

Senior Data Scientist at Magnit

Generated significant value for CVM by developing and implementing advanced analytics models, including lifetime-value models, credit score models, response and uplift models, resulting in improved customer targeting and revenue growth.

 

Worked for a commerce branch and developed a highly effective lookalike model for brands, achieving a high roc_auc value exceeding 0.9. This model generated substantial value for campaigns, leading to increased response rate.

 

 Developed a next purchase date prediction model with a roc_auc value exceeding 0.8 that was implemented into several promo campaign pipelines, enhancing campaign effectiveness and customer engagement.

 

Built cross-sell and recommendation models using surprise and mlxtend libraries to identify complementary products and improve accuracy and personalize recommendations.

August 2020 - November 2021

Data Scientist at Glowbyte Consulting

Worked on a high-impact project for a food retail company, developing and implementing uplift models to effectively reduce customer churn.

 

Researched and implemented machine learning instruments for various tasks, specializing in NLP and CV. Applied data preprocessing and NLP tools such as fasttext, LDA, LDA2vec, BigARTM, and BERT.

 

Developed topic modeling models on a dataset of 500,000 bank customer reviews, leading to improved classification and understanding of customer sentiments.

 

Developed models for text classification and sentiment analysis on customer reviews and news datasets.

 

Performed optimization tasks in Python using Pyomo (finding communication channels for customers) and SciPy libraries

July 2019 - December 2019

Business Analyst Intern at UniCredit

Developed new banking products in the Cash Management Department to enhance customer satisfaction.

 

Conducted market research and analyzed customer requirements to evaluate business needs and determine strategies. Evaluated and optimized business processes, anticipating future requirements.

Education

2022 - 2023

Georgia Institute of Technology | Master’s Degree

Statistics (GPA: 3.9 out of 4)

2019 - 2021

Lomonosov Moscow State University | Master's Degree

Mechanics and Mathematics (GPA: 3.9 out of 4)

2015 - 2019

Lomonosov Moscow State University | Bachelor's Degree

Mechanics and Mathematics (GPA: 3.9 out of 4)

Skills
& Expertise

Big Data, Data Mining, Data Analysis, Critical thinking, Predictive Modeling 

Programming Languages: Python, Pyspark, SQL, C/C++, R, MATLAB, Maple, SAS

Data Visualization: Tableau, Matplotlib, Seaborn

Machine learning and Deep learning tools: PyTorch, TensorFlow, NLP libraries (NLTK, Gensim, word embedding methods), Time series models

Instruments: Git, Kedro, Microsoft Excel, Microsoft Office, Knime, SAS Base, SAS EG, SAS Miner, Neo4j, Splunk, Watson Studio, Apache Spark

Certifications

  • SAS Programmer specialization by SAS (2020)

    • Getting Started with SAS Programming 2020

    • Doing More with SAS Programming 2020

    • Practical SAS Programming and Certification Review 2020

  • Big Data specialization by University of California San Diego Introduction to Big Data 2019

    • Big Data Modeling and Management Systems 2020 Big Data Integration and Processing 2020

    • Machine Learning With Big Data 2020

    • Graph Analytics for Big Data 2020

    • Big Data - Capstone Project 2020

  • Machine Learning by Stanford University 2020

  • SQL for Data Science University of California, Davis 2020

  • Data Wrangling, Analysis and AB Testing with SQL University of California, Davis 2020

  • What is Data Science? IBM 2020

  • Tools for Data Science IBM 2020

  • Data Science Methodology IBM 2020

  • Python for Data Science and AI IBM 2020

  • Distributed Computing with Spark SQL 2020

  • Create Your First Web App with Python and Flask Coursera Project Network 2020

  • Python for Everybody specialization by University of Michigan

    • Getting Started with Python University of Michigan 2020

    • Python Data Structures University of Michigan 2020

    • Using Python to Access Web Data University of Michigan 2020

    • Using Databases with Python University of Michigan 2020

    • Capstone: Retrieving, Processing, and Visualizing Data with Python University of Michigan 2020

  • Introduction to Programming in Swift 5 LearnQuest 2020 Introduction to HTML5 by University of Michigan 2020

  • Data Science Math Skills by Duke University 2020

  • Applied Data Science with Python by University of Michigan

    • Introduction to Data Science in Python 2020

    • Applied Plotting, Charting & Data Representation in Python 2020

    • Applied Machine Learning in Python 2020

    • Applied Text Mining in Python 2020

    • Applied Social Network Analysis in Python 2020

  • Neural Networks and Deep Learning by DeepLearning.AI 2021

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI 2021

Publications

  • On the Motion of a Three-Wheel Robot with Slip of Driver Wheels, Springer Mechanics of Solids volume 55, pages 941–946, Feb 5, 2021

  • Motion of 3-Wheeled Robot, Journal of Applied Mathematics and Mechanics, 2019

  • On the motion of a 3-wheeled Robot, Collection of proceedings of XII All-Russian Congress on Fundamental Problems of Theoretical and Applied Mechanics, Ufa, volume 1, page 87, 2019

  • Dynamics of a Mobile Robot, Contemporary Problems in Mechanics and Mathematics, dedicated to the 80th anniversary of academician A.V. Sadovnichiy, Moscow, page 714, 2019

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