28.10.2026 aktualisiert

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Head of Data, Analytics and AI, Senior Digital Analyst, Senior Web Analyst

Düsseldorf, Deutschland
Weltweit
Master’s degree in Marketing, Russian University of Humanities (2012)
Düsseldorf, Deutschland
Weltweit
Master’s degree in Marketing, Russian University of Humanities (2012)

Profilanlagen

CV - Vladimir Petrishchev

Über mich

I help businesses turn data into decisions through AI, machine learning and digital analytics. My experience spans leading data teams, building predictive models, automating reporting and improving marketing performance. I combine technical delivery with business strategy and stakeholder management.

Skills

Adobe AnalyticsAPIsKünstliche IntelligenzApache AirflowData AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentBig DataGoogle BigQueryDigitale DatenGoogle AnalyticsMachine LearningMarketing AnalyticsTensorFlowAzure Machine LearningWeb AnalyticsBusiness Intelligence Development StudioData SciencePyTorchDeep LearningSQL Server Business IntelligenceGenerative AIMachine Learning OperationsArtificial Intelligence Markup Language (AIML)Looker Analytics
AI/ML & Data: Python, SQL, R, machine learning, deep learning, PyTorch, TensorFlow, scikit-learn, NLP, computer vision, forecasting, recommendation systems, statistical modeling, experimentation, data analytics

Generative AI: LLMs, Generative AI, AI agents, agentic workflows, RAG, embeddings, vector databases, prompt engineering, LoRA/QLoRA, model evaluation, OpenAI API, Gemini, Claude, LangChain, LangGraph, MCP

Data Engineering & MLOps: BigQuery, PostgreSQL, Supabase, ETL/ELT, dbt, Airflow, Kafka, Flink, MLflow, Docker, Kubernetes, FastAPI, REST APIs

Cloud: Google Cloud Platform, Vertex AI, Cloud Run, AWS, Azure

Analytics & Marketing Tech: GA4, Google Tag Manager, Adobe Analytics, Looker, Power BI, Tableau, digital analytics, marketing analytics, attribution, media analytics

Engineering: Git, GitHub, Next.js, React, TypeScript, JavaScript, Streamlit, Firebase

Leadership & Product: AI product strategy, AI architecture, technical leadership, data science leadership, AI transformation, use-case prioritization, stakeholder management, team leadership, enterprise AI

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2013

Sprachen

DeutschGrundkenntnisseEnglischverhandlungssicherRussischMuttersprache

Projekthistorie

Senior Consultant Data Science, Marketing and Technology

Wavemaker GmbH

Internet und Informationstechnologie

>10.000 Mitarbeiter

Head of Data and Analytics

Wavemaker (GroupM / WPP)
Wavemaker (GroupM / WPP)
Russia, Moscow

* Managing analytic, data science and data management teams for more than 20 agency clients
* Conducted 20+ training sessions about data analytics. Reduced the workload of the data and analytics department by ~30%
* Created and approved with clients all financial estimates for the department
* Created several data tools that helped the agency's clients optimize media spending and gain new ways of ads targeting. (CTR
up to +27%, Conversions up to +30 pp, media campaigns savings up to 30%)
* Successfully launched DMP systems for 4 clients
* Created 20+ dashboards for internal and clients use with full automation of ETL process, parsing and matching data from 25+
data sources
* Led the creation of proprietary attribution based on Markov chains on clients' big data. Which increased the effectiveness of
media buying and increased conversion rate of more than 30 pp with the same budget.
* Builded feed management for 3 clients
* Conducted a full launch of mobile analytics for 3 clients (Appsflyer, Firebase, Google Analytics)
* Responsible for supporting and integrating web analytics for more than 100 digital resources
* Regularly increased department revenue by an average of 1.4 times each year

Developed products/tools:
1. Flucast epidemic predictor. Based on a machine learning algorithm that can predict flu epidemic within the whole country from 1 to 4
weeks split by region. Avg. accuracy is 0.944. 3 largest pharmaceutical companies are using forecasts for regular media campaign
optimization. Potential savings is about 12% of the whole media budget.
2. Ecom parser. Automated script for parsing any open data about client competitors. Data presented in Google Data Studio.
3. Streaming set. Semi-automated tool for aggregating 30+ sources of digital data in one place. Ready to export in Data Studio.
4. Vision Graph. Machine learning project with trained models for object detection and classifications. Avg. accuracy 0.986. The project
used for precise ad targeting by unique user id.

Senior Digital Analyst

Brandstudio
Brandstudio
* build from scratch data modeling for automotive clients
* created 7 dashboards for client marketing team

Senior Web Analyst

Actis Wunderman
Actis Wunderman
* Increased analytics department revenue by 300+%
* Implement DW on GBQ for automotive clients

Web Analyst

Samsung Electronics | Cheil Worldwide
Samsung Electronics | Cheil Worldwide
* Implemented web analytics tracking for 12 product
launches

Other experience in marketing (including work during the study):
5+ years as Marketing Assistant and Marketing Manager

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