SELECTED WORK

PRICE OPTIMIZATION

Machine learning algorithms that suggest the optimal price of a product given its historical demand, competition, etc.

PERSONALIZED TARGETING

A vaiety of AI systems that detect consumer's preferences and automatically create offers personalized for each client.

FRAUD DETECTION​

Artifical Intelligence detecting fraudulent payments or abnormal warranty claims.

DEMAND FORECASTING

Prediction of sales of both new and established products, demand for spare parts, number of customers, etc.

CUSTOMER ACQUISITION OPTIMIZATION

Minimize the cost of aquiring new customers by focusing on channels that produce the cliets with the highest lifetime value

COMPLAINT CATEGORIZATION

Efficiencies for customer service through automatically assigning complaints to the right specialist.

WEB SCRAPING

Bots that crawl the internet and collect data on products, prices and promotions.

ASSORTMENT OPTIMIZATION

Recommends a selection of products or product features that maximizes profits on a category and store level.

CAREER

Data Science Manager - Kantar, Barcelona, Spain

• Evangelized Machine Learning across the company and developed various Forecasting, Clustering and Artificial Intelligence solutions
• Agile Project management (requirements gathering, task estimation and prioritization, stakeholder communication) for various cross-department projects:
  • Development of a cloud computing platform that has been widely adopted across departments
  • Development of data quality tools
  • Deployment of open source visualization platform and dashboards
• Worked with senior directors on developing sales strategies for data product such as recommendation systems and performance simulators
• Organizational transformation: worked with the department head on defining roles and structure for data science

Data Science Consulting - Accenture, Barcelona, Spain

• Exposure to wide variety of industries including retail, vehicle manufacturing, smartphone manufacturing, electric utility, apparel and cosmetics.
• Managed a team of 4 data scientists for an inventory optimization project
  • Tasks definition, prioritization and assignment
  • Accepting or rejecting task results
  • Communication with stakeholders
• Cross-department retail assortment optimization. The optimization increased revenue 5%-10% depending on product category.
• Agile development of fraud detection solutions
• Lead on developing a machine learning algorithm for demand forecasting using signals from Social Media
• Project management for development of a cost optimization solution with 3d printing

Senior Business Analyst - Akamon Entertainment, Barcelona, Spain

• Reported directly to the Chief Product Officer and the Chief Revenue Officer.
• Lead on a project to develop a machine learning model for improving customers’ retention. The model improved revenue per user by 7%
• Led the creation of an AB testing platform.
• Designed, prioritized and evaluated all AB tests inside the company
• Designed a data-driven strategy for improving user’s payment experience, which increased spend per customer 10% to 20%, depending on cohort Improved the click-through rate of retention emails by 11% through personalizing communication campaigns with user segmentation Doubled the daily return-to-play rate on newly launched product through factor analysis of product features

Customer and Product Analytics - Vistaprint, Barcelona, Spain

• Improved the relevance of retention campaigns using machine learning model
• Collaborated with Product marketing on focusing promotion activities on high-value users
• Provided recommendations for cross-sell and up-sell campaigns based on market basket analysis
• Planning and evaluation of promotional campaigns