EDUCATION

2002–2008 | National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) | Faculty of Cybernetics, Department of System Analysis | Specialization: Mathematician, System Programmer | Master's degree

OTHER SKILLS

• Responsible for delivering significant business impact in every data science project.

• Proficient in all major data science methods: ⏵predictive modeling (machine learning, deep learning, simulation modeling), ⏵descriptive modeling (clusterization), ⏵prescriptive modeling (statistical modeling), ⏵“non-data” and “cold start” modeling (reinforcement learning, probabilistic modeling, expert mathematical modeling), ⏵optimization, ⏵statistical experiments (A/B-testing).

• Capable of analyzing current business processes and proposing data science-based improvements for greater efficiency.

• Experienced in delivering end-to-end data science solutions:

⏵ Formulating initial business hypotheses

⏵ Designing model ensemble architectures

⏵ Preparing and evaluating statistical experiments to assess economic impact

⏵ Automating solution deployment

• Able to clearly and accessibly explain even the most complex mathematical concepts (including for business stakeholders).

• Proficient in preparing and delivering high-impact presales presentations.

• Skilled at validating the potential effectiveness of any business hypothesis.

• Expert in fully automating the A/B-testing of marketing campaigns’ and business-hypotheses’ economic effectiveness.

• Proficient in optimizing code by creating reusable libraries, significantly reducing time-to-market for new projects.

• Experienced in agile product development. Agile certified professional.

• Capable of managing multiple complex projects simultaneously.

• Strong background in recruiting, mentoring, and rapidly upskilling junior team members.

• Highly accurate in assessing project scope and estimating works’ cost and duration.

• Proficient in breaking down complex projects into atomic tasks, determining task priority, and effectively distributing tasks among team members, considering their expertise, interests, and workloads.

CERTIFICATIONS

• ICAgile Certified Professional

• Salesforce – Tableau CRM and Einstein Discovery Consultant

• EXPF - "A/B Testing and Mathematical Statistics"

• Luxoft Training – Data Analysis and Predictive Modeling

• Luxoft Training – BigData SQL: Hive

My Quick Service Restaurants (QSR) Domain Projects

• Strategic coupon personalization model (2 projects):

⏵ Identifying and quantifying hidden factors influencing purchase probability and customer spending

⏵ Statistical monitoring of customer behavior dynamics (e.g., time since last purchase, spending levels across food categories)

⏵ Recommendation system for assessing the relevance of specific promotions for customers

⏵ Evaluating the appeal of promotion terms for individual customers

⏵ Personalizing customer interaction strategies by balancing encouragement, development, retention, and reactivation tactics

⏵ Uplift modeling to forecast changes in customer spending after receiving specific promotions

⏵ Uplift modeling to predict the likelihood of customers making purchases in response to promotional offers

• Automating the preparation and evaluation processes for regular A/B testing (1 project)

My Geo-Analytics Domain Projects

• Developed a geo-temporal customer profile (1 project): predicting the likelihood of a customer making a purchase in a specific MCC category within a certain map area and hour during the week

• Developed a geo-filter for recommendation systems (1 project):

⏵ Excluding brands from recommendation feeds if their store locations are too far from the customer’s usual areas

⏵ Geo-temporal profile modeling to assess the ""gravitational strength"" of partner store locations

⏵ Predicting the likelihood of a customer visiting a specific store based on their geo-temporal profile

• Audience targeting model for "small" partners of a "large" loyalty program (1 project):

⏵ Selecting audiences for small partners based on geo-filter parameters, such as the frequency of purchases within a specific radius around the partner’s store

⏵ Personalizing geo-filter parameters to maximize the audience size while maintaining a targeted conversion rate for campaign participants

My Game Development Domain Projects

• Prize personalization for players (assessing prize relevance) (6 projects). The results? 10% of players started purchasing more attempts, while the total bonus budget for the game remained unchanged—achieving higher engagement at the same cost for the loyalty program

• Predictive assessment of the actual cost of prizes awarded to players (forecasting deferred costs for prizes with non-fixed values, e.g., temporary increased cashback in specific MCC categories) (5 projects)

• Predictive assessment of task difficulty for players (forecasting win probability or prize amount based on game level parameters) (3 projects)

• Personalizing player interaction strategies: development, encouragement, retention (1 project)

• Personalizing game level difficulty for players (3 projects)

• Simulating game economy using predictive models (4 projects)

• Individual map generation for players in turn-based games (personalized placement of prizes and tasks on the map to ensure player development, encouragement, retention, and overall positive game economy) (2 projects)

• Automating online management of game economy (1 project)

LUXOFT

March 2017 – September 2018

Senior Analyst

• Designed analytical dashboards

• Developed algorithms for distributed computing: normalization, transformation, and deduplication of big data (MDM – Master Data Management) using Hadoop

• Created interface layouts and interaction logic, optimizing UX

• Designed architecture for storing and analyzing user behavior data on the product website (CJM – Customer Journey Map)

• Developed key statistical metrics for big data quality control

• Designed metadata storage architecture (PostgreSQL) for use in big data processing (Hadoop).

PROGRESS SOFT

August 2015 – March 2017

Lead Analyst

• Developed key performance metrics for the business system

• Created monitoring mechanisms and tools for rapid localization of issues affecting key business metrics (Python)

• Designed managerial dashboards

• Developed layouts for user interfaces

• Built scripts for collecting and analyzing user activity data (Python, PostgreSQL)

• Created scripts for parsing unstructured raw data (Python)

• Developed scripts (Python) for automatic XML schema generation for OLAP cubes based on metadata

• Designed an adaptive metadata storage architecture (allowing database structure changes without modifying the schema when attributes of stored data are updated)

• Managed the development team: estimated workload, formed the backlog (task definition, prioritization, and quality control).

OTHER PROJECTS

• Developed a system for constructing optimal investment portfolios based on user-defined levels of return or risk. The system also monitors and automatically updates the stock price database.

• Improved the performance of a corporate MDM module. This project involved a comprehensive analysis of the master data management department’s business processes, identifying performance bottlenecks, and developing a set of solutions to enhance subsystem performance. One key solution included designing an expert system to automate MDM expert decisions (e.g., for data quality assessment).

• Designed a model for stress-resistant business processes capable of operating under conditions where the control parameters of the process change dynamically during execution.

• Transitioned a small manufacturing facility to CAD. As part of this project, developed a set of scripts to automate tasks for 3D designers.