Background research and literature reviews for statistical modeling• Data collection and management• Data and statistical analysis• Design and implementation of statistical models (including tasks such as model selection, coding, testing, and performance). Python essential, Mathematica• Output processing and presentation (including designing figures forpapers, paper editing, presentations, and the potential for small writingassignments, such as blog posts or data reports)

Data Consultancy, in Machine Learning and AI projects

How do Market Sentiment and Investor Behaviour relate to the price of Bitcoin and other Crypto. Identifying factors influencing Bitcoin's price variations using machine learning and numerical methods to identify statistically significant findings.

Algorithmic trading aims to detect signals and uses complex models to predict price movements and execute trades at high speed. The market and micro-market structure were analyzed to avoid flash crashes and aid in their prevention. This research resulted in recommendations to FINRA on regulatory mechanisms capable of preventing future flash crashes.https://lnkd.in/gMmH96Pm

Working for different clients in their data migration to the Google Cloud Platform. Its migration from a self-hosted Hadoop ecosystem to Google Cloud, running BigQuery, Dataproc and Google Kubernetes Engine (GKE)Spark processes were migrated to Dataproc. After confirming the jobs were all successfully running in Google Cloud and validating the output, we started redirecting downstream processes to read from Google Cloud data sources (Cloud Storage/BigQuery).Creation of communications with GCP and APIGEE X through a service account, provisioning your APIs for import in Apigee which uses a contract in swagger, either version 2.0 or Openapi version 3.0 onwards, is provisioned with all the features did APIproxy (policies, application developers and products).

Working on the implementation of Enterprise Analytical Platform 2.0 Tool. Overseeing in the Unified Data Experience portal • Architect working on a hybrid environment in Citibanamex of EAP 2.0. (On-premises, Amazon Web Services and Google Cloud Platform.)• Product Manager Datameer, led the use of Datameer for Data Prep for Machine Learning by making data exploration and pre-processing of large training data sets in Hadoop Data File System EAP Environment. • Led IT Citibanamex Mexico subsidiaries and Treasury Reserves to comply with risk management measurements on a timely basis, IFRS 9, part of Basel III.

Directed and planned the development of the Analytics Area in Mexico, • Planned and instituted a coordinated engagement with clients to develop a comprehensive Data Warehouse. Manipulating large data sets (Datawarehouse, Datalake, GCP), building data source pipelines (IBOPE, Google, Facebook), descriptive and predictive modelling and implementing visualizations, dashboards, and reports (Tableau).• Organised and coordinated development of analysis-based market intelligence and precision marketing for AT&T, Nissan and Volkswagen• Initiated deployment of Omni in Mexico. Omni, Omnicom Group people-based precision marketing and insights platform.

Pioneered the analysis and systematisation for the implementation of the Enterprise Analytical Platform(EAP) 2.0 Tool. Managed the selection process of the new Self-service Analytics Tool for the Customer Analysis Area.

Organized and oversaw the LTAM Project Management Office. Working with every country´s change project managers to achieve regional initiatives in time cost and scope.

Coordinated the Education Mexican market for Microstrategy• Developed and fine-tuned the education plan for Mexico, met or exceeded our Financial goals for 2011 and trained the full Path for Pfizer Business Intelligence team in the new Microstrategy Version 9.2.1. The mobile implementation of the dashboards allowed better control of inventory.

• Developed and implemented the launch of Nestlé Pediatría, the healthcare portal for México, Argentina, etc.