
Yulia Kondratyeva
Junior Researcher

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About me
Senior Data Scientist
Education
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Lomonosov Moscow State University (MSU)
2008 - 2014Master's degree Optimal control theory.webp)
Lomonosov Moscow State University (MSU)
2014 - 2018Pre-PhD Differential equations, dynamic systems and optimal control theoryPre-PhD student, specialization in optimal control theory.
Experience

Steklov Mathematical Institute of Russian Academy of Sciences
Jun 2013 - Dec 2013Junior ResearcherParticipated in research project ’Integral model of economic growth’ in the 38th RAS program. Achievements: - Speech at the conference ’The prospects of a coordinated economic and social growth of Russia and Ukraine in the European context’ 2013

Russian Science Foundation & MSU
Jan 2014 - Sept 2015Junior ResearcherParticipated in research project 14-11-00539 RSF ’The objectives of guaranteeing positional control with incomplete information. Method of program packages’. Achievements: - Published paper N. L. Grigorenko, Yu. A. Kondrat’eva, L. N. Luk’yanova ’The problem of finding a guaranteeing program control for a linear system with incomplete information’, Trudy Instituta Matematiki i Mekhaniki UrO RAN, T21 N2 2015

Semnotec
Oct 2015 - Jul 2017Junior Data ScientistAchievements: - Built a solution for social media open data analysis for collecting customer's reviews on a product (TV and Media) with more than 1m users. Technologies: Python + packages for data analysis, SQL, Hadoop, Neo4j, Mercurial, Redmine.

MVideo
Aug 2017 - Jun 2019Data ScientitAchievements: - Developed a tool for CRM discount optimization that reduced the company's costs for marketing. Costs were reduced by 12%.- Developed a tool for optimization of product catalogs and stocks. The tool was used in the marketing team to search for replacements for customers.- Participated in the development of an NLP tool for customer's review automatic analysis (sentiment, object, characteristics).- Brought Git usage to the DS department, this led to improvement of stability of code and research.- Mentored and onboarded two Junior Data Scientists.Technologies: Python, SQL, Hadoop, Google Analytics and BigQuery, Git, Jira, d3js. Show less

Grid Dynamics
Jul 2019 - Nov 2021Track: Game development forecasting, pricing optimization, and fraud detection. Achievements: - Developed a forecasting tool for a video game publisher that allowed optimizing pricing strategies. Increased savings on user contact by 10%. Increased uplift by 3%.- Hired, onboarded and mentored 10+ team members. Led planning, defined the department strategy, represented the department on the company level.Technologies: Python, SQL, Snowflake, AWS (SageMaker, S3 fs), Tableau, GiT, Jira. Track: web-store search improvement. Achievements: - Participated in the RnD project for text search improvement using multi-headed neural networks. Implemented SOTA NN algorithm (Microsoft 2015) to improve user experience in web-store (one of the US top-50 store) search for complicated queries. Improved quality of search for long-tail by 50%Technologies: Python, SQL, Git.
Senior Data Scientist
Aug 2020 - Nov 2021Data Scientist
Jul 2019 - Jul 2020

Wargaming
Nov 2021 - Oct 2022Senior Data Scientist
Yandex
Oct 2022 - nowMachine Learning Specialist
Licenses & Certifications
- View certificate

Введение в машинное обучение
Coursera Course CertificatesMay 2016 - View certificate

Математика и Python для анализа данных
Coursera Course CertificatesMar 2016
Languages
- enEnglish
- geGerman
- spSpanish
- ruRussian
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