Cristian Lavieja Belanche Email and Phone Number

- Conducted in-depth client analysis and segmentation using data analytics techniques and mathematical algorithms. Utilized Pyspark to handle the large amount of data required.- Implemented machine learning algorithms to detect customers at risk of leaving the company. Leveraged MlOps in Databricks for industrialization.- Optimized sales targets through forecasting techniques.- Coordinated a 60-person cross-company team focused on data-driven processes. This role involved monitoring various data-related projects within the company and preparing the training needs of team members.

- Supply chain improvement using an optimization algorithm for one touch replenishment methods in a national supermarket chain. Development of an interactive data visualization tool. Determination of benchmarks with the highest impact in order to implement an MVP. Obtaining 3% Cost Reduction in the pilot test.- Dive deep analysis to find valuable information in large amount of data. Correlation analysis of variables and report making to visualize the most significant KPIs in order to improve the budget allocation.- Supply Chain Inventory optimization. Decreasing stock-outs 10% while maintaining a service level of 99%.- Study of the correlation between KPIs with respect to the impact of advertising in different media. Development of a predictive model for the study of the influence in each media according to the broadcasting band.- Detection of fraud in the geopositioning of industrial vehicles. Development of a tool integrated with Google Maps for the customer monitoring process.- HackIA Repsol 2020 event – The winner Team. Use of ETL techniques to clean data. KPIs development to increase model accuracy. Demand prediction model for selected products in a service station with the aim of increasing customer satisfaction.

- Data analysis and optimization of industrial processes, achieving a 5% saving in one of the production lines of the group.- Study of art of new innovative techniques suitable for the company. Data test and validation of the most promising processes.- Participation in an EU-Project as a technical expert and BSH delegate, taking part in international follow-up meetings.- Detection and correction of anomalies of industrial processes employing continuous data test and analysis.- Leadership and management of technical nature projects developing 4 patents. - Management of interns and advisor of final career projects.

-BSH-University of Zaragoza awards to the innovation in the Factory (2013): Main individual prize for the development of a new illumination system for the domestic ovens.-Development and optimization of new materials and production processes for home appliances.

Quality standard control in a electrical component manufacturer and supplier