Alexey Kogay Email & Phone Number

Moscow, Ru

Москва, Москва, Россия

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.

Moscow, Moscow City, Russia

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%.

Moscow, Moscow, Russia

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.

Enterprise Risk Services

• 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;

Head Office

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.

Head Office

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.

Moscow, Russian Federation

Sales of loans and cash services for corporate clients.

Moscow, Russian Federation

Sales of credit card and loans for individuals.

Bachelor'S Degree, Economics

Master'S Degree, Physics

Activities and Societies: MSU Case Club