Experience

BBVA AI Factory
• Spain
• Banking
• 1 - 100 Employee
• Senior Manager/Senior Expert Data Scientist

  • Jan 2023 - Present

TECNOLÓGICO DE MONTERREY
• Mexico
• Higher Education
• 700 & Above Employee
• Adjunct Professor of Analytics & Intelligence

  • Feb 2022 - Present


Independent

• Uganda
• International Trade and Development
• 1 - 100 Employee

• Advanced Analytics Consultant

  • Jan 2016 - Present

  Developed advanced analytics consultancy projects in a variety of topics: Price setting strategies in retail, fraud detection, quantitative risk modeling, income distribution, market share, natural language processing, among others. Generalities of some of these solutions can be found bellow and in the Github link [jcmartinezovando](https://github.com/jcmartinezovando). Developed advanced analytics consultancy projects in a variety of topics: Price setting strategies in retail, fraud detection, quantitative risk modeling, income distribution, market share, natural language processing, among others. Generalities of some of these solutions can be found bellow and in the Github link [jcmartinezovando](https://github.com/jcmartinezovando).



Grupo Rotoplas

• Mexico
• Construction
• 700 & Above Employee

• AI/ML Officer

  • Jun 2021 - Dec 2022

  Designed the corporate strategy to influence the advanced-analytics adoption in Rotoplas. Co-designed the data analytics and digital transformation process, in partnership with the Data Governance Officer and the global CIO of the group. Co-owned advanced analytics initiatives with business owners, which overall generated MXN20 million in annual revenue.Architected and led the development of first advanced analytics use-cases and projects for the Group. Created and led the corporate new advanced analytics team. Designed and implemented the advanced analytics practice framework on top of data-lake, machine learning and artificial intelligence cloud tools, meta-data management and advanced data visualization-. Designed, influenced, and implemented the corporate advanced analytics policies and processes, along with the CI/CD framework (MLOps).Partnered with IT infrastructure, information security, enterprise architecture unit and vendors to implement and deploy the cloud Data and Analytics ecosystem in AWS, using Glue, Theobald, Snowflake, Databricks, Tableau, Atlan, GitHub and Sisense, while being the custodian of Databricks, Atlan, AWS ML, GitHub and Sisense.Designed and led the implementation of the corporate semantic data model to support advanced analytics solutions and self-service BI, combining knowledge graphs theory and data vault 2.0.Innovated on predictive analytics solutions for IoT initiatives, in collaboration with the IoT and Services teams.Managed MXN6 million annual OPEX budget for data analytics subscriptions, licensing, and consulting services, and MXN10 million annual CAPEX budget for business initiatives. Show less

• Information Processes Manager

  • May 2020 - Jun 2021

  Coordinated corporate finance and commercial strategy BI reports and dashboards.Designed and implemented the tactic strategy to integrate data from a variety of system sources (SAP, Salesforce, Magento, local SQL and MySQL DBs, self-managed information, API external sources, etc.).


Tecnológico de Monterrey
• Mexico
• Higher Education
• 700 & Above Employee
• Professor of Analytics & Intelligence

  • Dec 2019 - Jun 2020


Instituto Tecnológico Autónomo de México

• Mexico
• Higher Education
• 300 - 400 Employee

• Associate Professor (Data Science & Actuarial Science)

  • Aug 2015 - Nov 2019

  Produced of 6 research papers in Actuarial Science, Finance and Statistics. Elaboration of 2 books (one monograph on aggregate risk modeling, and another on foundation statistics for the social sciences. Research focus: • Behavioral analytics. • Analytic procedures and data science. • Risk quantification and management. • Bayesian statistical methods. Developed of bonding projects with government and industry. Management of a research support trust fund signed with AMAFORE. Designed and developed of a conceptual framework to teaching Statistics, with the aim of developing transferable understanding over hard disciplinary knowledge. Methodology supported by reproducible results using R, Python, Julia and AWS. Mentored undergraduate and graduate students on theoretical and practical research projects (direction of 14 bachelors thesis and 2 master’s thesis on different disciplines). Show less



Banco de México

• Mexico
• Government Administration
• 100 - 200 Employee

• Lead Research Scientist (Econometrics and Statistics)

  • Aug 2011 - Jul 2015

  • Produced 4 research documents, including "Time Series Modelling, Stationarity and Nonparametric Methods" and "Predictive Inference on Finite Populations", published in Springer monographs. • Led a group of 3 statisticians and 2 computer scientists in the redesign and deployment of a novel statistical method to estimate and predict international cash flows due to tourism in Mexico for its inclusion in the national balance of payments. Data sources: Monthly survey data. Tools: R, Java, SQ and R (produced the predfinitepop R package). Show less



Università degli Studi di Torino

• Italy
• Education Administration Programs
• 700 & Above Employee

• de Castro Research Fellow

  • Jun 2010 - Jul 2011

  • Developed research on behavioral analytic methods based on discrete choices and adaptive preferences. • Produced one draft document and co-mentored the initial stage of a Ph.D. student in Economics and Statistics. • Developed research on behavioral analytic methods based on discrete choices and adaptive preferences. • Produced one draft document and co-mentored the initial stage of a Ph.D. student in Economics and Statistics.



University of Kent

• United Kingdom
• Higher Education
• 700 & Above Employee

• PhD Student

  • Oct 2006 - Feb 2011

  Dissertation: "Contributions to Bayesian Nonparametric Modelling of Time-Series Data".Winner of the *Leonard J. Savage Award - Theory and Methods*, First place, 2011. Granted internationally to outstanding doctoral dissertations on Bayesian Statistics and Econometrics.

• Sessional Lecturer

  • Sep 2009 - Aug 2010

  • Designed and developed a one year course on Foundation Statistics at bachelor level, delivered to a group of 100+ british and international students. • Coordinated a group of 3 teaching assistants on workshops and evaluation.

• Economic Research Analyst

  • Apr 2004 - Oct 2006

  • Collaborated in the implementation of 500 economic time series decomposition of official indicators. • Contributed to the revision and design of a survey to estimate the total amount of money transacted in cash across the Mexico-USA border. • Collaborated in the implementation of 500 economic time series decomposition of official indicators. • Contributed to the revision and design of a survey to estimate the total amount of money transacted in cash across the Mexico-USA border.



United Nations

• United States
• International Affairs

• Scientific Consultant

  • Apr 2006 - Aug 2006

  • Collaborated in the sampling design and model development for the 2006 Quick Count Mexican Presidential Election in Mexico. Data sources: Poll surveys of 2 percent of the population. Tools: R, MS Office Excel and Java. • Collaborated in the sampling design and model development for the 2006 Quick Count Mexican Presidential Election in Mexico. Data sources: Poll surveys of 2 percent of the population. Tools: R, MS Office Excel and Java.



SEDESOL, Oportunidades

• Mexico
• Utilities
• 700 & Above Employee

• Deputy-Director of Econometric Analysis

  • Sep 2003 - Mar 2004

  • Maintained SQL and SPSS instances for implementing the household classification framework for program beneficiaries. • Elaborated executive documents and presentations regarding the current state of the universe of the program's beneficiaries. * Assisted external evaluators regarding data content and statistical/analytical perpectives. • Maintained SQL and SPSS instances for implementing the household classification framework for program beneficiaries. • Elaborated executive documents and presentations regarding the current state of the universe of the program's beneficiaries. * Assisted external evaluators regarding data content and statistical/analytical perpectives.



Universidad Nacional Autónoma de México

• Higher Education
• 700 & Above Employee

• M.Sc. Student

  • Sep 2001 - Jul 2003

  Probability theory; Bayesian statistics. Thesis: "Un Criterio Predictivo para la Seleccion de Modelos de Series de Tiempo" Winned of *Premio Francisco Aranda Ordaz*, First place, 2006. Granted nationally to outstanding masters dissertations on Statistics. Probability theory; Bayesian statistics. Thesis: "Un Criterio Predictivo para la Seleccion de Modelos de Series de Tiempo" Winned of *Premio Francisco Aranda Ordaz*, First place, 2006. Granted nationally to outstanding masters dissertations on Statistics.



Mexico's Ministry of Agrarian, Territorial and Urban Development

• Head of Statistical Analysis Office

  • Mar 2001 - Nov 2002

  • Developed a GIS to monitor in real time legal territorial disputes and resolutions. • Developed a hierarchical predictive model to predict number and type of legal territorial disputes in Mexico in the short- and medium-term. • Elaborated executive presentations for the Strategic Planning Managing Director regarding statistics and data summaries. • Developed a GIS to monitor in real time legal territorial disputes and resolutions. • Developed a hierarchical predictive model to predict number and type of legal territorial disputes in Mexico in the short- and medium-term. • Elaborated executive presentations for the Strategic Planning Managing Director regarding statistics and data summaries.