Barbara Elizabeth Franco Murphy

Collaborate as PO in multidisciplinary teams ensuring the alignment of business objectives and technical restrictions of the platforms to develop machine learning solutions such as: Automation of ML models, allowing to reduce FTEs by 30%.
Develop of product and channel propensity models, allowing the generation of new customer routing strategies seeking a 10% increase in sales.
Develop a text tagging model, seeking to save FTEs dedicated to conversational analysis.

• Lead the monitoring and maintenance team of ML sales solutions in production
• The team was responsible for:
• Participating in the deployment of ML solutions ('suggested order' and 'van load') to production
• Design and built reports to measure the performance of the solutions
• KPIs performance of the model and process
• Develop improvements to ML solutions in production
• Document ML solutions: pipelines, models and process

• Work within the data science area for sales
• In particular, within the innovation laboratory, where I:
• Participated in developing: 'suggested order' and 'van load' solutions for stores in the traditional channel (DTS) based on machine learning models
• Designed and built a client and product segmentations
• Built dashboards to monitor the results of the models in the field

• Developed, deployed and maintenance of a customer segmentation for sales and marketing strategies
• Worked in the development and deployed of predictive models for campaigns of use and cancellation of the travel membership
• Developed of a rewards plan based on advanced analytics
• Built multiple dashboards for management areas

• Built and deployed a citibanamex customer segmentation for campaigns (insurance sales) based on statistical models
• Developed and optimization of processes for campaigns via email and ATM in SAS language
• Developed a propensity model for auto insurance claims