Cabify
Data Analyst
Bring data closer to engineers, designers and business managers
in the Rider and Delivery teams by building data sources and dashboards of the main metrics and
KPIs.
Test hypotheses about the product by developing and monitoring
experiments (A/B tests).
Carbon
Data Scientist
Increased monthly loan disbursements by building machine-learning
credit scorecards and income prediction models.
Accelerated the development of new scorecard models by re-building the loan offer engine from
scratch
(Python stack).
Reduced loan defaults by implementing pre-delinquency models and fraud prevention strategies using a
customer graph db (Neo4j).
Improved visibility of customer behaviour by building a single customer view, together with an
internal reporting dashboard to monitor loan disbursements.
Boosted customer engagement by (1) launching SMS marketing campaigns powered by A/B testing and (2)
creating a new customer segmentation scheme based on lifetime value and activity, allowing Carbon to
reward valuable customers with perks.
Ferrovial
Analyst
Market Intelligence Analyst at the Centre of Excellence for Cities
(Smart Cities) at Ferrovial Services.
My position involved tasks such as:
Identification and management of urban innovation information sources.
Selection and proposal of technologies to implement in ongoing contracts or pilots.
Development of the Innovative Solutions Catalogue and active participation in the selection and
relationship with providers to compliment Ferrovial Services technological capabilities.
Analysis of information and draw conclusions according to the objectives of Market Intelligence
areas to elaborate strategic documentation internally and externally (studies, market analysis,
reports,
news, events).
Active collaboration in events that position Ferrovial Services as a market leader in Smart Cities
(Smart Cities Expo World Congress, South Summit, Smart Cities Congress, etc).