Leading 7 data science teams (40+ FTE’s) at Samokat, a prominent group of companies building one of Russia's largest marketplacesI established 7 Data Science teams:1. Recommendation Systems at Megamarket* 🛍️ Developed a ranking algorithm for main page collections, significantly increasing revenue.* 🛒 Deployed a cart recommendation algorithm that doubled revenue from cart interactions.* 📊 Grew overall recommendation revenue from 4% to 11% within a year.2. Recommendation Systems at Samokat* 📈 Engineered a media ranking algorithm for the app's main page, increasing feature revenue by 10-15%.3. Search Algorithms* 🔍 Introduced search suggestions, which contribute to every second purchase on Megamarket.* 📝 Developed a typo correction service and zero-query parser, reducing empty search results by 15%.* 📂 Transitioned to a new category determination model, maintaining high conversion rates.4. Ranking Algorithms* 📊 Applied ML ranking algorithms to the search CTR plugin and catalog, leading to increased revenue per user.5. Product Card Processing* 📝 Devised an algorithm for product descriptions, saving millions of rubles annually.* 🛡️ Expanded moderation services to detect offensive language, duplicates, and spam, resulting in a 6% revenue increase for trusted products.6. Marketing Algorithms* 📊 Created an uplift algorithm for first-time buyers, increasing revenue by 12% while reducing promo costs by 4.5%.* 🔄 Developed a churn reactivation model, boosting conversion rates by 6.8%.7. Dialogue Systems* 🤖 Developing a system similar to Amazon's Rufus, enabling rapid innovation adoption.GO Specialist Team for Ranking ServiceFormed a team of GO specialists to create a flexible ranking service for Megamarket's search and catalog, separating candidate selection and ranking into distinct modules, and supporting independent development with personalization, vector search, and online updates.

SberMegaMarket.ru – fast-growing marketplace in Russia (~0,5 bln USD in revenues in 2021)Leading a total of 30 professionals across four DS teams, I am responsible for spearheading the development of the centralized data science office.1. Megamarket Recommendation Systems* Replaced external algorithms with in-house solutions, improving control and recommendations.* Validated effectiveness through A/B testing on multiple platforms.* Continuous improvements increased recommendations' share in GMV.2. Smart Matcher for Faster Onboarding* Developed models accelerating assortment onboarding by up to 10%.* Implemented algorithms for grouping similar products and optimizing onboarding sequence.* Automated linking of seller offers and attribute extraction, saving time.3. Demand Forecasting* Created a model for 1P products, optimizing reorder timing and inventory levels.4. Automated Review Moderation* Built models reducing manual moderation efforts by 10x.5. Enhanced Website Search* Introduced an external typo correction algorithm, reducing empty search results by 10%.

Head of machine learning (Data science) departmentParticipated in the creation of the largest Data Science unit in the Bank from the ground up (In 2016)). Functionality:🤝 Leading the machine learning team (8 - 10 people):- Recruiting - hired 10 people since 2016- Validating the traits that employees came up with and created and putting them to regular load- Involving most of the department staff in training (including Datacamp.com - all together have taken over 50+ courses) Maintaining machine learning projects:1. 💸Project to identify ALM clients2. 🏃🏻♂️Project on customer churn.3. 🚀 Project recommendation system.4. 🏦 Geolocation project5. 📈 Cross-cutting analytics (digital marketing).6. 👮🏻♂️Antifrod (lending) online. 7. 🕵🏻♀️ Transactional antifraud. 8. 🤲🏼 A/B testing platform creation.9. 🤖Computer vision projects prototypes.

• Conducted a series of interviews and analysis of documentation to examine the Bank's business processes;• Provided recommendations to improve credit risk management process;• Participated in the development of foreign exchange risk hedging system;• Analysed the effectiveness of controls for reporting in accordance with the Basel II;• Analysed of the quality and accuracy of reporting in accordance with the Basel II;• GAP analysis of the private pension fund in Ukraine;• Prepared the materials and documents for participation in tenders for risk management;• Prepared the materials for presentations in conferences risk management;

Lead a sector of 5 Data analystsManagement:• daily, weekly and monthly reports;• data for the calculation of employee motivation;• administration of ad-hoc landings for the head of the credit and cash offices, director of the regional center and regional directors;Reporting:• automation of the reporting on volume indicators (plan-fact);• participated in the creation of OLAP cube;• made report "NPV calculation" (plan vs. actual) for credit and cash offices, regional centers, etc .;Risks:• made predictive model of credit risk for credit and cash offices and product lines;• calculated Risk buckets that can be opened;Creating models and calculators:• made model of profitability that used when sales manager want to sign new contracts with the partners;• made different models at the requests;• analyzed risk cost of new products;Projects:• made a system of bonuses for employees of Head office ( plan-fact) that calculated from profitability;• planning, conducting and analyzing the results of the pilot project to change the value of the Bank's products;• implementation and evaluation of the financial results and the coordination with the Finance and the Risk Divisions of new products of the Bank.

Management:• daily, weekly and monthly reports;• preparation of quarterly reports to the Management Board;Reporting:• automation of reporting (plan-fact) to such a state that it is formed without the participation of employees of the Bank;• made business requirements for CFTRisks:• creation and automation form of monthly monitoring of legal entities;• preparation of monthly monitoring materials of legal entities;• participated in the development of a new version of the Regulations on transfer pricingPresentations:• preparation of materials for the Corporate Strategy unit until 2017 .;Projects:• introduction and automation of the sales process;• creating the financial model of our Division;• integration the financial model of Division with a general banking financial model;• responsible from Division in the project named "Normalization employee";• responsible from Division in the project on the allocation and reduce costs;Subordinates - 1-2 FTEs.

Sales of loans and cash services for corporate clients.

Sales of credit card and loans for individuals.