Led the design, management, and planning of end-to-end forecasting solutions for SOV in key markets across the LATAM region.Responsible for communication with client Strategy teams and regional directors, translating model results into actionable insights. Achieved a model average accuracy of 1.0pp.Spearheaded internal technical discussions with data and engineering teams to integrate solutions from various areas, with a focus on meeting the needs of business stakeholders.Designed and implemented an algorithm for recommendations in order to detect and measure the potential impact on certain operational drivers of one of the largest soft drink companies worldwide.

Build first KPIs of inspection products built on ML using DynamoDB, Redshift databases and Python (Amazon Sagemaker) for data processing. Ensemble Data Studio for metrics visibility.Designed dashboards to track and monitor different Machine Learning Models providing potential updates and risks.Created the first dashboard for mechanical inspectors, enabling a precise calculation of work bonuses based on operating performance across Mexico.Led the design and business rules of databases related with inspection products built upon ML. Direct collaboration with Mexico Directors to ensure the specific business needs.

Analyst for top soft drink beverage company sales forecast model in Mexico presenting monthly results regarding Machine Learning sales forecast model.Created and mantain visual material to explain current state of and possible feature updates of forecasting model.Acquired by KAVAK.

Data formatting and extraction of data files for marketing research clients.Creation of statistical tables for customers in order to facilitate understanding of the data.Creation of custom automation tools for Project Managers, Project Coordinators and Data Processors improving efficiency.

Use of main social networks APIs for data mining in order to get KPIs for improvement suggestions based on analytics. Growth by 20% of organic social media interactions for VW, SEAT & Ducati Financial Services Banks.Creation of strategies to improve internal reports including Semi-automatically-generated dashboards that reduced delivery times by more than 70% for SEAT & Planta Audi Mexico.Usage of R, Python and Visual Basic For Applications. Cleaning, maintenance and unification of data for optimal performance. Creation of scripts that reduced by 90% the time invested in tracking guides for Porsche Mexico.

Gather, analyze and manage data for the creation of content published on diverse media and for internal use.Develop a custom structure for the Salesforce platform in order to its best operation.Research of sports industry cases to transform Latin-America sport management perspective on the marketing, financial and technology sectors.

Analysis of college sports data with mainly focus on the financial core to get insights of the structure. Creation and automatization of reports and dashboards for the Operations department with Visual Basic scripts. Management of internal data bases related with collegiate athletics departments. Co-Founder of the Research and Development department.

Representation of the Actuarial Science students for the growth in the academic, cultural and extracurricular activities.

Coordination in the IT and Design areas for the optimization of times in attendees reception and giving a new design concept for the atraction of new public interested in the conferences.

VBA Program Development for the easier management of Databases in the CDP.