"A good decision is based on knowledge and not on numbers."

Plato

About me

Engineer and mathematician with over 9 years of experience in the technology finance industry (fintech), developing within the field of data science and computational statistics in Big Data projects. I have worked on national and international projects in the USA, Spain, and Peru, processing large volumes of data for the extraction of non-trivial information for decision-making.

Education

Statistics and Operations Research Master Degree

Engineering Faculty - UNAM

Mathematics Degree

Science Faculty - UNAM

Professional ID: 14575202

Computer Systems Engineering Degree

Higher School of Computing (ESCOM) - IPN

Professional ID: 11250578

Skills

  • Responsible for one or more highly complex or extensive operational processes. Continuously executes and improves the processes under their responsibility, adhering to defined quality and productivity standards.
  • Experience in gathering requirements with the ability to abstract business processes for implementation using mathematical-analytical models, as well as monitoring them over time for calibration in production environments, following appropriate conventions and metrics, while meeting defined quality and productivity standards.
  • Strong communication skills to engage with stakeholders from both technical and business areas.
  • Experience in developing machine learning and AI models in general-purpose languages such as Python and R, using suitable frameworks, some of the most common being: SciPy, Pandas, Matplotlib, Scikit-learn, StatsModels, Lifelines, and XGBoost, to name a few.
  • Experience in using and improving jobs on distributed processing and storage systems like Spark, Amazon EMR, and Hadoop, as well as developing end-to-end pipelines to efficiently resolve complex queries and logic while optimizing resources such as memory, processing power, and time.
  • Experience working with AWS cloud technologies for analytical purposes such as S3, SageMaker, Athena, Lambda Computing, and Step Functions.

Work experience

Data Scientist Tech Lead Manager

BBVA Technology Américas (Nov 2023 - Currently)

Technical leader responsible for resolving analytical incidents in production models, as well as proposing and developing new data science initiatives to make banking operations more efficient: optimal resource allocation for banking mainframe processes, cost reduction models for engineering operations, and migration of analytical models to the AWS cloud platform.

Mathematics Adjunct Lecturer

UNAM - Science Faculty (Aug 2017 - Currently)

Lecturer, teaching, development of teaching material, preparation and application of exams, emphasizing computational methods oriented the subjects towards analysis and data science, teaching record:

  Subject   Semester
Multivariate analysis & statistical learning
    2018-1, 2018-2, 2019-1, 2019-2, 2020-1, 2020-2, 2021-1, 2021-2, 2022-1, 2022-2, 2023-1, 2023-2, 2024-1, 2024-2, 2025-1, 2025-2
Time series analysis and forecasting 2020-1, 2021-1, 2022-1, 2023-1, 2024-1, 2025-1
Linear models 2020-2, 2021-2, 2022-2, 2023-2, 2024-2, 2025-2
Statistical Inference 2019-2
Link to University Directory

Tech Data Scientist Leader

Data Architecture and Technology (DATIO) (May 2021 - Nov 2023)

Technical leader of the analytics area, responsible for the development of predictive models and support for flow development at BBVA on a global level. Some projects I have developed include: predictive ATM maintenance, optimal remittance allocation, and cash inventory forecasting in vaults.

Data Scientist Advisor

Yave MX (Jul 2022 - Nov 2022)

Creation of a risk model and probability of default/delays for mortgage placement in a fintech company, based on historical data, credit bureau statistics, and other socioeconomic variables.

Content Creator

Crehana (Jun 2022)

Course creatorof the course “Linear Algebra for Data Science”, this course is designed to be translated and taught in various countries. It focuses on essential concepts of linear algebra that are fundamental for data science applications.

Tech Data Scientist Leader

Hocelot MX (Jan 2020 - May 2021)

Responsible in Mexico of design, development, measurement and productivity in cloud environments of statistical models and machine learning for the performance and scoring, aimed at enriching and providing intelligent data and predictions to financial companies.

Sr. Data Scientist

Data Architecture and Technology (DATIO) (Aug 2016 - Jan 2020)

As the leader of the analytical infrastructure team, I perform a wide range of functions ranging from Mathematical / Statistical / MachineLearning models using BigData tools especially Spark, to coordinating the analytics team, training users to use a Spark / MachineLearning and expose in conferences on applications of big data / machine learning to banking.

Predictive Software Developer

Servicios Electrónicos Globales de México (Apr 2014 - Aug 2016)

Developer of software for the detection of fraud on an electronic payment means platform, through scoring models using statistical methods based on machine learning, with bigdata tools such as cassandra, spark, hadoop, etc. on cluster-type architectures in linux.

Courses.

  • Amazon web services: cloud practitioner.
  • Amazon web services: sage maker.
  • Amazon web services: security fundamentals.
  • Amazon web services: data analytics fundamentals.
  • Amazon web services: technical essentials.
  • Amazon web services: well architected framework.

Acknowledgment.

  • In April 2015 I was recognized for my thesis work on the application of cellular automata in cryptography. Links