Louis Josso Email & Phone Number

Berlin, De

Berlin, Allemagne

• Developed and Optimized Models: Led the enhancement of the Customer Lifetime Value (CLV) model with XGBoost and decision trees, and created Marketing Mix Models (MMM) for better marketing strategies.• Generative AI Solutions: Automated product descriptions and classified detractor comments, improving response times and customer engagement.• Managed Data Pipelines: Designed and implemented Dockerized ETL pipelines, automating data handling and model deployment on Azure for streamlined operations.• Oversaw Integration: Managed end-to-end processes including data integration, quality assurance, and collaboration with cross-functional teams to enhance data-driven decision-making.

Berlin, Allemagne

• Enhanced Product Ranking Algorithm: Led the migration of the product ranking algorithm, transforming it from a legacy SQL process to an automated Python service hosted on Azure. Cleaned the process and optimized the service for tuning. Enabled AB testing of various rankings to increase margin per visit.• Maintained Markov Model Attribution: Successfully maintained the Markov model attribution, a vital tool for sales attribution based on customers' marketing touchpoints. Adapted the model during the migration from Webtrekk to Google Analytics and various other updates ensuring uninterrupted service.• Dockerized Service Implementation: Created custom Docker images to encapsulate both the ranking algorithm and the Markov model attribution. Deployed these services on Azure, ensuring efficient and reliable daily operation.• End-to-End Process Ownership: Managed processes, including data integration from databases, automation of daily procedures, automated quality assurance of daily outputs, and seamless handover of data to data engineers for database integration.• Collaboration and Innovation: Collaborated closely with cross-functional teams, including data engineers and marketing teams, to ensure smooth data flow and integration. Introduced innovative solutions to optimize daily processes, enhancing efficiency and data-driven decision-making.

Berlin, Allemagne

• Automated ROI calculations: Designed and implemented an automated process for calculating ROI for marketing campaign, reducing manual workload for marketing teams. This optimization facilitated quicker execution of AB tests, enabling data-driven decision-making while saving valuable time.• Power BI Dashboard Creation: Spearheaded the development of Power BI dashboards, merging data from diverse sources to understand the price aggressivity on the market. I ensured data was presented in a readable and actionable format, offering stakeholders valuable insights for strategic planning and improving operational efficiency.• Geo Data and Store Optimization: Utilized geographic data to drive store optimization efforts. By correlating online sales data with store effectiveness metrics, I facilitated the prediction of potential store success, contributing to informed decisions on store openings.• Collaboration and Data-Driven Culture: Collaborated closely with stakeholders to gather requirements and ensure alignment with strategic goals. By effectively presenting complex technical concepts to non-technical audiences, I contributed to fostering a data-driven culture within the organization.

Ville De Paris, Île-De-France, France

• Consulted major luxury and cosmetics brands facing data scarcity due to their heritage, assisting them in gaining deeper insights into their customer and product knowledge challenges.• Improvement of customer segmentation algorithms through innovative Bootstrapping techniques, allowing brands to effectively target previously underrepresented segments.• Implemented automated dashboards leveraging SQL and Python on AWS, enabling brands to swiftly access key insights and inform data-driven decisions.• Overcame challenges posed by limited historical data by employing advanced analytical approaches, contributing to enhanced decision-making accuracy. Progressed in presenting complex data findings to non-technical stakeholders, fostering informed discussions and strategic alignment.

Vienna, Vienna, Austria

• Image processing for automatic document processing with Python - OpenCV - Scikit Learn• Clustering and text classification for high ROI tasks with Supervised Machine Learning • Implementation of the full-scale data processing structure followed by the effectiveness of the algorithm• Gained hands-on experience in extracting meaningful insights from complex data, fostering data-driven decision-making.

Région De Rennes, France

• Development of an innovative Big Data analysis tool with a focus on forecasting electricity prices within European stock exchanges.• Utilized open-source weather data to refine predictive models, allowing for accurate electricity price forecasts.• Gained expertise in machine learning techniques tailored for forecasting, while honing data integration skills.• Presented findings to non-technical stakeholders, effectively communicating complex analyses in accessible terms.

Master 2 (M2), Management Of Digital Business And Internet Technologies

2 months spent at the MBA of the university of Los Andes, Columbia Specialized in Management of Digital Business and Information.

Diplôme D'Ingénieur, Génie Mathématiques

Activities and Societies: Président de l’Amicale des Elèves de l’INSA Rennes Président de l’Amicale des Elèves des INSAsLast semester.

Education record

Summer exchange with audencia

Master 2 (M2), Mathematics

Master 2 of mathematics (Classes in Spanish)