Pavel Bender Email & Phone Number

Valencia, Es

AI-driven ATS that parse, score, and assess candidates. Helps to save your time and money on candidate management. Available as SaaS and have APIs for enterprise clients.

Tel Aviv, Israel

I lead the team of experts to adopt solutions and technologies for CRM as ML or BigData. Besides, I'm in charge of software development as a system architect, building data landscapes and have a part in CRM strategy development and tendering processes.Most inspiring projects> Feb 2021 - until now, Client ‘American multinational FMCG corporation’Fought technical debt and infrastructure problems for complex Yii application, some back-end and front-end refactoring done. Designed and implemented the Data Quality Strategy, as result integration middleware layer and Data Warehouse design rebuilt. After all, implementation of ML based ‘tone of voice’ classification and product recommendation models started. CDP migration in 4 months.Stack: PHP + Yii, Vue.JS, MySQL, ClickHouse, GCP (Google Cloud) BigQuery, SAP Emarsys, Altcraft CDP, GitLab, Docker, ELK, Zabbix, Altrcaft CDP> June 2022, Client 'German retail chain of hypermarkets, DIY stores and electronics stores’Built the solution design for data lake to connect data multiply AD and traffic sources for end-to-end data analysis and uploading data marts to clients data warehouse. The key feature is using PBC* architecture to build the data extraction component and make distribution of tasks possible between development teams.Stack: Kubernetes, ELK, Beats, Kafka, Apache Spark, Apache Airflow, Greenplum, Redis, GitLab> 2017 - until now, Client ‘German multinational manufacturer of luxury vehicles’Architect and product lead of Lead Distribution Tool. Solution integrates multiple lead sources as social ADl, web-sites, 3rd APPs, do lead qualification jobs, transform data to native CRM format. Every single data flow is configurable to have an individual processing route. Stack: PHP + Yii, MySQL, Azure Queue, Microsoft Dynamics CRM, GitLabLead of data warehouse acceptance UAT with process automation and predictive analysis models used in Adobe Campaign.Stack: PostgreSQL, Adobe Campaign, R, JMeter

Moscow, Moscow City, Russia

> 2017 - 2018, Client ‘Japanese multinational automotive manufacturer’Worked on solution design and key concepts to create ML based service to predict website visitors interests, integrated solution with pop-up AD service and CRM.Stack: Python + Flask over Google App Engine, JS, OWOX BI, Google Analytics, GCP based MongoDB and BigQuery, Siebel CRM, GitHub> 2017 - 2020, Client ‘German motor vehicle manufacturer’Architect of Big Data and Machine Learning services. Built a data factory for collection and customer behaviour data analysis, implemented recommendation and lead tension ML models.Stack: JS, OWOX BI, Google Analytics, BigQuery, KNIME, Python, GitLabResponsible for CRM data layer and integration architecture. Implemented CDP-like architecture components to integrate and enrich 3rd party prediction service.Stack: PHP + Yii, MySQL, Microsoft Dynamics CRM, GitLabFailover service and mobile application for outdoor promotion activities. Hybrid multi-master cluster architecture allows operating service when cellular networks are unavailable at all.Stack: SWIFT, Java + Spring, MySQL, GitLab

Moscow, Russian Federation

Designed and implemented a data warehouse and deployed engineering data management software within a 6 month timeframe.

Moscow, Russian Federation

Led the regional division. Enhanced models and tools for evaluating the economic efficiency of marketing projects, resulting in a 5% increase in ARPU and significantly improved accuracy of techno-economic analysis.

Tolyatti, Russian Federation

Developed and implemented essential CRM processes. Led the Client Service and Service Support departments.

Moscow, Russian Federation

Developed project management processes for R&D. Involved in creating the product concept of a PaaS service for the virtualization of ISP provider infrastructure software components.

Managed internet service products, including public WiFi hotspots, parental controls, content services, and account management applications.