Experience

Travelgenio.com

• Spain
• Travel Arrangements
• 1 - 100 Employee

• Data Scientist

  • Sep 2019 - Present

  Responsible for create machine learning pricing models to optimize the company revenue in a dynamic competitive market. Responsible for create machine learning pricing models to optimize the company revenue in a dynamic competitive market.



Techrrific

• Madrid, Community of Madrid, Spain

• Data Scientist

  • Feb 2019 - Sep 2019

  Developing a prediction model to detect customer attrition that triggers retention actions. Insights of customer behaviour patterns. Developing a prediction model to detect customer attrition that triggers retention actions. Insights of customer behaviour patterns.



Globant

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Data Science Practice Lead

  • Jul 2016 - Feb 2019

  Undisclosed client (Banking, SP) Technical lead of big data team working for an important spanish digital bank with more than 1 MM of clients. The team was responsible to design and build a big data repository to provide a data analysis platform for business intelligence and data science analysis and modelling. And design and build analytical solutions like account movement classification as an important part of a PFM using text mining algorithms, rules engines and top technologies like spark, impala, kudu and CDH.As a team lead, taking technical interviewing, promotions evaluations, helping people development. Collaboration in presales presentations. Show less

• Data Science Practice Lead

  • Apr 2015 - Jul 2016

  GAP (Clothing, US)Optimisation of logistics, high volume of merchandise distribution involving packing, shipping and handling. Using integer linear programming (MILP), combinatorial optimization, coding in technologies like GLPK, python and Gurobi.BBVA (Banking, SP)Social network analysis of employees interaction based on booking of meetings to understand the behaviour of people at BBVA and their use of internal tools. Technical details: SNA, graph theory, centrality, clustering, influential actors.Globant (IT consultancy)Internal project for staffing optimisation, optimal assignment of people to tasks, work demand forecast, data formatting. Technical details: optimal assignment problem for simplex, record linkage, text mining, Levenshtein distance. Show less

• Data Science

  • Sep 2013 - Apr 2015

  JPMC (Banking)Implement a predictive classification model to identify suspects in transactional data improving the current manual process.Technical details: fuzzy matching, text mining, Levenshtein distance, Jaro Winkler distance, q-grams, random forest, feature selection, entity recognition.BBVA (Banking, Spain)Design a machine learning model for automatic email prioritization considering bank criteria.Technical details: text mining for dynamical keywords detection, semi-supervised learning, TSVM.JPMC (Banking)Design a machine learning model for automatic email prioritization considering user criteria. Technical details: Naïve Bayes based on user actions, keywords, contacts. Show less



EAE Business School

• Madrid Area, Spain

• Professor

  • Jan 2018 - May 2018

  Data & Visualization, SP- Master in Business Intelligence and Technological Innovation Teaching a subject with contents like dimensionality reduction techniques, factor analysis, time series analysis, outlier&anomaly detection, classification and regression. Data & Visualization, SP- Master in Business Intelligence and Technological Innovation Teaching a subject with contents like dimensionality reduction techniques, factor analysis, time series analysis, outlier&anomaly detection, classification and regression.



SAS

• United States
• Software Development
• 700 & Above Employee

• Consultant

  • Jan 2012 - Sep 2013

  Data Scientist Telecom Personal (Telecommunication, AR) Time series modelling to predict the number of income calls received by the company call center in order to allocate resources and optimise costs. Technical details: time series models, consolidation data among series with different time granularity. Santander Rio (Banking, AR) Implementation of SAS campaign management solution. Technical details: SAS programming, ORACLE SQL programming, SAS MA implementation Telecom (Telecommunication, AR) Customization of SAS tool of campaign management solution. Technical details: SAS programming, ORACLE SQL programming. Show less



Wunderman

• Advertising Services
• 700 & Above Employee

• Data Mining Analyst

  • Aug 2007 - Feb 2012

  Dell (Hardware, US) Analysis and testing of different strategies of direct marketing of e-catalog web page. Technical details: experimental design, statistical testing, control groups, data analysis, OLAP cubes, sequence clustering, logistic regression modeling Detalles técnicos: análisis de datos, minería de datos, diseño de experimentos, grupos control, testing estadístico, clustering, modelo de regresión lineal Nobleza Piccardo (Tobacco, AR) Analysis and insights of promotional activities. Customer segmentation and profiling. Out-of-stock predictive modeling of rewards purchased during redemption process. Technical details: experimental design, statistical testing, control groups, data analysis, linear regression modeling, clustering Cencosud (Retail, AR) Customer scoring, customer segmentation, big data. Technical details: RFM scoring, Microsoft (Software, US) Data analysis, testing, insights and recommendation of actions and reporting for the monthly messenger newsletter. Technical details: data analysis Show less



RAPP

• United States
• Advertising Services
• 700 & Above Employee

• Data Mining Analyst

  • May 2007 - Aug 2007

  Coca cola company (Goods, AR) Data analysis and looking for insights in a customer loyalty program offered by the company to B2C commerces. Technical details: data analysis, point value. Coca cola company (Goods, AR) Data analysis and looking for insights in a customer loyalty program offered by the company to B2C commerces. Technical details: data analysis, point value.



Emergencias SA

• Argentina
• Health and Human Services
• 700 & Above Employee

• Data Analyst

  • May 2005 - May 2007

  Municipio de Catalunya, SP Design a medical urgency level predictive model in order to perform triage of income incidents based on emergency calls. Continuous improvement algorithm. Technical details: tree prediction modelling, hierarchical statistical testing. Municipio de Catalunya, SP Optimisation of ambulance geolocation to reduce the waiting time in an emergency call. Technical details: operations research, facility location, queueing theory, clustering, convex optimisation. Show less