Petr Polezhaev

Angestellt, Senior Data Scientist, SIXT SE
Munich, Deutschland

Fähigkeiten und Kenntnisse

Data Science
Data Analysis
Software Development
Machine Learning
Python
C#
C++
Feature engineering
Data Wrangling
Classification models
Regression models
Multi-Armed Bandits
Clustering
A/B-tests
MLOps
Object Oriented Programming
Carbon
Grafana
SOLID
Design-Patterns
UML
Regular Expression
Redis
SQL
MySQL
HTML
XML
CSS
ClickHouse
Docker
OpenNebula
WMWare Workstation
numpy
scipy
pandas
matplotlib
seaborn
scikit-learn
catboost
Keras
Git
Jira
Recommender Systems
Recommendation Systems
Linux
Bash
Generative AI
Multi-agent simulation
Software-Agent
Agentic system
Arize
Large Language Models
RAG
Prompt Engineering
LLM Evaluation
Chatbot Development
Sentiment Analysis
Text Classification
Summarization
GPT-4/5
Claude
LangChain
LangGraph
OpenAI API
AWS Bedrock
Agentic AI
Tool Use
ReAct
Chain-of-Thought
MCP
Cognigy
OpenSearch
ChromaDB
OpenAI Embeddings
Claude Code
Cursor

Werdegang

Berufserfahrung von Petr Polezhaev

  • Bis heute 1 Jahr und 10 Monate, seit Juli 2024

    Senior Data Scientist

    SIXT SE

    - Shipped LLM QA system (web chat, WhatsApp, voice), doubling automation across 10+ markets - Designed and implemented agentic architecture for AI support platform; authored foundational ADRs shaping team roadmap - Led cross-team OTP auth design (5 teams), significantly increasing auto-resolved case volume - Built hierarchical multi-class classifier (+40% accuracy) with custom LLM evaluation framework - Created conversation-level evaluation system driving measurable quality improvements across 10+ markets

  • 2 Jahre, Aug. 2022 - Juli 2024

    Data Scientist

    SIXT SE

    - Built LLM-powered email processing (summarization, sentiment, extraction), accelerating response time and support quality - Deployed internal Slack chatbot integrating LLMs with company data for 1,000+ employees - Prototyped contract information extraction system, catalyzing a dedicated project and MVP - Led multiple GenAI/ML PoCs from prototype to stakeholder buy-in, influencing product direction - Designed price steering engine for car rentals using demand forecasting and constrained optimization

  • 1 Jahr und 11 Monate, Juni 2020 - Apr. 2022

    Data Scientist

    VK (Mail.RU)

    – Built core recommender system components: API service, ML models, data pipelines, and monitoring – Created segmentation and offer selection models (multi-armed bandits), increasing client ARPU by up to 23% – Designed A/B testing framework; built Grafana dashboards and alerting for model and business metrics – Introduced code review culture, CI/CD best practices, and comprehensive test coverage to the ML team

  • 12 Jahre und 5 Monate, Jan. 2008 - Mai 2020

    Researcher of Cloud Computing laboratory, Senior Lecturer

    Orenburg State University

    1. Research - Built regression models estimating curriculum item difficulty for e-learning students - Developed meta-heuristic algorithms for VM and compute unit scheduling - Designed and built a system for automatic VM disk image creation, including the integration layer with IaaS providers 2. Teaching - Taught courses in machine learning, software development, and computer security

  • 2 Monate, Juli 2007 - Aug. 2007

    Software Engineer

    Intel Corporation

    Extended multi-platform CI/CD pipeline with code coverage analysis, memory and threading diagnostics - reducing bugs in the Intel software product.

Ausbildung von Petr Polezhaev

  • 3 Monate, Okt. 2015 - Dez. 2015

    Computer Security

    Orenburg State University

    Diploma of professional development in computer security.

  • 3 Jahre, Aug. 2008 - Juli 2011

    Mathematical simulation, numeral methods and software

    Orenburg State University

    Postgraduate Research – Mathematical Simulation & Software

  • 4 Jahre und 11 Monate, Sep. 2003 - Juli 2008

    Mathematical maintenance and administering of information systems

    Orenburg State University

    Qualification: mathematician-programmer, GPA 5.00 (Excellent)

Sprachen

  • Russian

    C2 (Verhandlungssicher / Muttersprachlich)

  • Englisch

    C1 (Fließend)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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