Founder

• Apr 2017 - Present

SHUTTLE99’s main goal is to help online credit businesses with two of their main problems: traffic acquisition and credit scoring. Whether you're a credit company that needs help to improve your risk manager or an that needs to acquire qualified customers, we can help you! For traffic acquisition, we match customers with the right installment credit, credit card, payday loan, mortgage, or bank account. Our main affiliate websites: 👉 MiSolvencia.es: we match Spanish customers… Show more SHUTTLE99’s main goal is to help online credit businesses with two of their main problems: traffic acquisition and credit scoring. Whether you're a credit company that needs help to improve your risk manager or an that needs to acquire qualified customers, we can help you! For traffic acquisition, we match customers with the right installment credit, credit card, payday loan, mortgage, or bank account. Our main affiliate websites: 👉 MiSolvencia.es: we match Spanish customers with the 👉 CreditoTitan.mx: we match Mexican customers with the right loan, credit card or debt relief company. 👉 CreditoTitan.co: we match Colombian customers with the right SME or online loan. 👉 PartyHostels.org: we match English-speaking customers with the right party hostel. 👉 Pid0.com.ua: we match Ukranian customers with the right online loan. 👉 MamboCredit.com: we are expanding to new markets. Visit our website for more information. Show less SHUTTLE99’s main goal is to help online credit businesses with two of their main problems: traffic acquisition and credit scoring. Whether you're a credit company that needs help to improve your risk manager or an that needs to acquire qualified customers, we can help you! For traffic acquisition, we match customers with the right installment credit, credit card, payday loan, mortgage, or bank account. Our main affiliate websites: 👉 MiSolvencia.es: we match Spanish customers… Show more SHUTTLE99’s main goal is to help online credit businesses with two of their main problems: traffic acquisition and credit scoring. Whether you're a credit company that needs help to improve your risk manager or an that needs to acquire qualified customers, we can help you! For traffic acquisition, we match customers with the right installment credit, credit card, payday loan, mortgage, or bank account. Our main affiliate websites: 👉 MiSolvencia.es: we match Spanish customers with the 👉 CreditoTitan.mx: we match Mexican customers with the right loan, credit card or debt relief company. 👉 CreditoTitan.co: we match Colombian customers with the right SME or online loan. 👉 PartyHostels.org: we match English-speaking customers with the right party hostel. 👉 Pid0.com.ua: we match Ukranian customers with the right online loan. 👉 MamboCredit.com: we are expanding to new markets. Visit our website for more information. Show less

Founder

• Apr 2022 - Present

Data Science & IT Consulting

• Aug 2017 - Present

Offering Data Science and IT consulting - Revenue forecasting - Credit scoring - Team management - Machine learning training Offering Data Science and IT consulting - Revenue forecasting - Credit scoring - Team management - Machine learning training

Expansion Director for Spain & Data Consultant

• Jan 2018 - Jun 2019

Founder

• Apr 2017 - Jun 2017

Head of Data Science

• Aug 2015 - Mar 2017

Credit risk scoring, pricing and fraud detection are the main responsibilities carried out by the team from the inception to completion of the software life cycle. In order to meet those responsibilities, we perform a wide range of technical tasks: data analysis, information retrieval, scientific computing, statistical analysis of data, machine learning, data mining, agile software development, etc. Our main tools are Python and the PyData stack (numpy, pandas, scipy, scikit-learn)… Show more Credit risk scoring, pricing and fraud detection are the main responsibilities carried out by the team from the inception to completion of the software life cycle. In order to meet those responsibilities, we perform a wide range of technical tasks: data analysis, information retrieval, scientific computing, statistical analysis of data, machine learning, data mining, agile software development, etc. Our main tools are Python and the PyData stack (numpy, pandas, scipy, scikit-learn) together with relational and non-relational databases. Show less Credit risk scoring, pricing and fraud detection are the main responsibilities carried out by the team from the inception to completion of the software life cycle. In order to meet those responsibilities, we perform a wide range of technical tasks: data analysis, information retrieval, scientific computing, statistical analysis of data, machine learning, data mining, agile software development, etc. Our main tools are Python and the PyData stack (numpy, pandas, scipy, scikit-learn)… Show more Credit risk scoring, pricing and fraud detection are the main responsibilities carried out by the team from the inception to completion of the software life cycle. In order to meet those responsibilities, we perform a wide range of technical tasks: data analysis, information retrieval, scientific computing, statistical analysis of data, machine learning, data mining, agile software development, etc. Our main tools are Python and the PyData stack (numpy, pandas, scipy, scikit-learn) together with relational and non-relational databases. Show less

Data Scientist and Marketing Data Engineer

• Apr 2014 - Jul 2015

Data Scientist (February 2015 - July 2015) - Marketing data analysis. - Machine learning models to predict inventory needs. - Time-series models for inventory acquisition. - Statistical model for yield management. Marketing Data Engineer (April 2014 - February 2015) - Building a data pipeline and algorithms to create PPC campaigns. - Using customer data to analyse and predict KPIs. - Applying machine learning for customer segmentation, forecasts, sentiment… Show more Data Scientist (February 2015 - July 2015) - Marketing data analysis. - Machine learning models to predict inventory needs. - Time-series models for inventory acquisition. - Statistical model for yield management. Marketing Data Engineer (April 2014 - February 2015) - Building a data pipeline and algorithms to create PPC campaigns. - Using customer data to analyse and predict KPIs. - Applying machine learning for customer segmentation, forecasts, sentiment analysis, etc. Show less Data Scientist (February 2015 - July 2015) - Marketing data analysis. - Machine learning models to predict inventory needs. - Time-series models for inventory acquisition. - Statistical model for yield management. Marketing Data Engineer (April 2014 - February 2015) - Building a data pipeline and algorithms to create PPC campaigns. - Using customer data to analyse and predict KPIs. - Applying machine learning for customer segmentation, forecasts, sentiment… Show more Data Scientist (February 2015 - July 2015) - Marketing data analysis. - Machine learning models to predict inventory needs. - Time-series models for inventory acquisition. - Statistical model for yield management. Marketing Data Engineer (April 2014 - February 2015) - Building a data pipeline and algorithms to create PPC campaigns. - Using customer data to analyse and predict KPIs. - Applying machine learning for customer segmentation, forecasts, sentiment analysis, etc. Show less

Business Analytics Consultant

• 2011 - 2012

- Analysing data stored in Oracle and Teradata databases. - Implementing ETL processes: Informatica PowerCenter and Oracle Data Integrator. - Designing and developing reports and dashboards with Oracle BI (Publisher, Answers and Interactive Dashboards). - Building metadata repositories with Oracle BI Administration Tool. - Analysing data stored in Oracle and Teradata databases. - Implementing ETL processes: Informatica PowerCenter and Oracle Data Integrator. - Designing and developing reports and dashboards with Oracle BI (Publisher, Answers and Interactive Dashboards). - Building metadata repositories with Oracle BI Administration Tool.

Website developer and entrepreneur

• 2003 - 2007

Creating and administrating websites that reached 100K+ unique visitors per day. - Main technical tasks: back-end development (PHP), front-end development (HTML, JavaScript), database design and administration (MySQL), SEO optimization and internationalization of the website (5 languages). - Main non-technical tasks: ad revenue management (display advertising and email marketing) and coordination of an international team of 25 collaborators who created content. Creating and administrating websites that reached 100K+ unique visitors per day. - Main technical tasks: back-end development (PHP), front-end development (HTML, JavaScript), database design and administration (MySQL), SEO optimization and internationalization of the website (5 languages). - Main non-technical tasks: ad revenue management (display advertising and email marketing) and coordination of an international team of 25 collaborators who created content.