Daniel Kelemen Email & Phone Number

Vienna, Austria

• Manage IT department providing IT services and Business Partnering for 4 OpCos in 2 countries. Lead digital transformation of the companies in line with the group IT strategy. Plan, budget and execute digital roadmap.
• Enhanced data-driven decision making through implementing data warehouse and BI processes
• Digitalized office activities with the implementation of Win10 and O365
• Educated users to leverage new digital capabilities (Digital Friday, Digital Communities, MS Power Family)
• Enrolled ticketing, project and task management solution
• Implemented several interfaces and process automatization between SAP and client side systems

Budapest, Hungary

• Built and managed a high-performing, international, diverse, core Data Science & Data Engineering team dedicated to implement robust, enterprise-grade Big-Data & Machine Learning solutions across all business domains.
• Managed all aspects of solution development, including business requirement analysis, resource & project planning, product design, implementation, testing and handover to Operation, perform 3rd level support for.
• Implemented group level Advanced Analytics services and IT solutions, including Data Acquisition concept, analytical Data Lake services and self-service Data Science Workbench tool
• Developed a generalized, scalable solution for integrating IoT sensor data (PI) into Hadoop Data Lake to train & test predictive maintenance ML models and develop soft-sensor algorithms
• Realized several group-level Machine Learning solutions exploiting both structured and quasi-structured data.Technologies: Cloudera Hadoop Distribution | Cloudera Data Science Workbench | R | Python | Java | Microsoft.

Budapest, Hungary

• Managed CRM & Telesales departments focused on strengthening sales, loyalty and retention across multiple key segments (B2B, B2C) & distribution channels (in-store, delivery), with P&L responsibility, support.
• Developed data-marts, reports, dashboards and machine learning solutions to reveal new growth opportunities and enable data driven decision for marketing, operation and procurement departments
• Implemented customer base performance & master data KPI dashboard and campaign efficiency measurement solution with built-in statistical testing function to fasten data driven decision support (international best.
• Developed and continuously increased offline channel affinity prediction models to decrease printed expenditures and convert majority of the campaigns into digital channels (40% offline cost decrease without revenue.
• Built new generation of customer basket clustering, future value prediction and category recommender engines to strengthen targeted communication and campaign automation (annually +1000 campaigns with 171% ROI)
• Implemented Oracle Siebel Sales Force and Loyalty (2 tiers model) modules, piloted the new Omnichannel (phone, sms, email) integrated smart Contact Center system with Group IT (Siemens Genesys integration to Oracle.

Budapest, Hungary

• Analysed consumer patterns and developed machine learning models to reveal actionable insights for growth opportunities in tariff migration, offer x-sell & upsell, data usage push and top-up stimulation campaigns, with.
• Developed Onboarding and Monthly Activity push lifecycle campaigns to decrease rotational churn, push early data usage and improve inactivity rate (Golden Box Award winning program)
• Built consumer DNA and Contact History datamarts to fasten customer selection and campaign efficiency measurement
• Implemented Oracle Siebel based real-time campaign management solution with trigger based private offer engineTechnology Stack: Oracle PL/SQL | IBM SPSS Modeller | Business Object | Oracle Siebel Marketing

Budapest, Hungary

• Optimized customer campaign selections, furnished management with insights, reports, dashboards and recommendations.
• Developed the promotional product recommender engine and article LIFT factor tools to optimize product selection
• Piloted the TRM campaign management tool and a new Customer Value Based Segmentation with Group ITTechnology Stack: Teradata SQL | Teradata Warehouse Miner | R | MicroStrategy | Teradata Relationship Manager (TRM)

Budapest, Hungary

Designed new customer base management activities and improved campaign performance through applying advanced analytics based customer and offer selection. Support internal customers with high quality reports, dashboards and descriptive analysis.

Budapest, Hungary

Conducted telephone and in-person surveys, performed primary qualitative statistical analysis and interpreted findings to clients.Technology Stack: SPSS Statistics

Performed statistical analysis at primary or secondary market research projects.Technology Stack: SPSS Statistics

Budapest, Hungary

Master Of Science - Ms, Economics And Finance

(Science University of Pécs)

Bachelor Of Science - Bs, Economics

(former College of Commerce and Economy)