Константин Измайлов

Chief Data Officer at Yandex.Lavka at Яндекс Лавка
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Contact Information
us****@****om
(386) 825-5501
Location
Moscow, Moscow City, Russia, RU
Languages
  • Russian Native or bilingual proficiency
  • English Professional working proficiency
  • German Elementary proficiency

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Ekaterina Sedelnikova

I have studied with Konstantin for 5 years. During that time he impressed all of us, both the teachers and students by his thoroughness, efficiency and strong analytical skills. Konstantin is extremely well organized and detail oriented in his approach to tasks. He masters projects quickly due to his keen intellect and carries them out in a precise and error free manner. But the most amazing is his capability of self-education. Konstantin earned superior grades in all classes he took. Moreover, he had also been involved with a variety of outclass activities, like being the leader of the University’s Sports Committee, participant of various business cases contests and etc. Konstantin has been a superb performer in each role which he has played and has far exceeded expectations for productivity. He is a pleasant person to work with, attentive to others and enthusiastic. Good leader for any team!

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Experience

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Chief Data Officer at Yandex.Lavka
      • Nov 2022 - Present

    • Russian Federation
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Chief Data Officer
      • Apr 2022 - Dec 2022

    • Head of Big Data
      • Sep 2020 - May 2022

      Technical lead of DataScience Direction. Responsible of processes, vision and business integration of advanced algorithms. Management of teams: • Marketing Science;• Operational Efficiency Team;• Team of Planning&Forecasting;• Team of Product Development.Business head of the operational platform for balancing Supply and Demand with following projects:• Dynamic Zones;• Surge Pricing;• Restaurants` pricing strategy;• Automatization of manual operational processes;• Dispatching. Show less

    • Data Science Team Lead
      • Sep 2019 - Sep 2020

      Built a Data Science Team and implemented SOTA solutions for FoodTech industry with following projects:• Alan the Courier Scheduler – automatization of courier planning (TS Prediction + Gen. Algorithm);• GeoMap Project – automatization of delivery zones creation based on business metrics (OSM);• Commercial Strategy – the process for commercial dep. of determining the best restaurants to sign up;• Uplift modeling – marketing costs optimization;• In-App Content improvement – implementing NLP (semantic analysis) and CV models;• User Recommendations;• Recommendation for Partners – the most suitable place for the restaurant, discount recommendation. Show less

    • Data Scientist
      • Dec 2017 - Sep 2019

      • Introduced the data-science culture to the company with data-driven decisions;• Created series of ML-algorithms and researches that had led to increasing the E-commerce effectivenes;

    • Qatar
    • Technology, Information and Internet
    • 300 - 400 Employee
    • Data Science Advisor
      • Jul 2022 - Nov 2022

      Setting Up a Data Science function and make a data-transformation in the company. Setting Up a Data Science function and make a data-transformation in the company.

    • Higher Education
    • 300 - 400 Employee
    • MSU Lecturer
      • Aug 2018 - Nov 2022

      Lecturer of course "Introduction to Data Analysis" Lecturer of course "Introduction to Data Analysis"

    • United States
    • Retail
    • 1 - 100 Employee
    • Data Science
      • Apr 2021 - Mar 2022

      Creating Data Science in Grocery Startup. Operations: • Inventory Management, Automated Replenishment of stocks; • Autoscheduling of employees; • Forecasting and planning; • Order redistribution and dispatch; • Delivery Time and Lateness prediction. Product: • Customer personalization and recommendations; • Developing A/B platform. ML Operations: • Creating microservice infrastructure. Creating Data Science in Grocery Startup. Operations: • Inventory Management, Automated Replenishment of stocks; • Autoscheduling of employees; • Forecasting and planning; • Order redistribution and dispatch; • Delivery Time and Lateness prediction. Product: • Customer personalization and recommendations; • Developing A/B platform. ML Operations: • Creating microservice infrastructure.

    • Russian Federation
    • Higher Education
    • 1 - 100 Employee
    • MAI Lecturer
      • Aug 2019 - Sep 2020

      Lecturer of course "Machine Learning" Lecturer of course "Machine Learning"

    • Russian Federation
    • Banking
    • 700 & Above Employee
    • Analyst
      • Jun 2015 - Nov 2017

      • Implementing and supporting statistical banking models (LGD/PD risk models, fraud detection); • Developed The Risk-Calculator, which made the process of working with clients much more transparent and efficient - dramatically increase in process of risk-analyzing: • Automated the risk reporting process; • Implementing and supporting statistical banking models (LGD/PD risk models, fraud detection); • Developed The Risk-Calculator, which made the process of working with clients much more transparent and efficient - dramatically increase in process of risk-analyzing: • Automated the risk reporting process;

    • Russian Federation
    • Architecture and Planning
    • 1 - 100 Employee
    • Analyst
      • Nov 2013 - Jun 2015

      • Initialized a data-driven approach in the company; • Modeling the volume of social infrastructure for the “New Moscow”; • Developed an automated system for geo-analytics of the territory with MapInfo and VBA; • Systemized the storage and accumulation of the data; • Initialized a data-driven approach in the company; • Modeling the volume of social infrastructure for the “New Moscow”; • Developed an automated system for geo-analytics of the territory with MapInfo and VBA; • Systemized the storage and accumulation of the data;

    • Russian Federation
    • Computer Games
    • 1 - 100 Employee
    • QA Tester
      • May 2010 - May 2011

      • The discovery and documentation of software bugs; • Participating in projects: Petka VIII: Pokorenie Rima, Ex Machina Arcade, Dusk-12: Deadly Zone, Pacific Storm: Allies; • The discovery and documentation of software bugs; • Participating in projects: Petka VIII: Pokorenie Rima, Ex Machina Arcade, Dusk-12: Deadly Zone, Pacific Storm: Allies;

Education

  • Russian University of Economics named after G.V.Plekhanov
    Specialist, Economics
    2008 - 2013

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