About me

With a passion for interdisciplinary exploration, I've traversed the realms of bioinformatics, data science, data engineering, and software development, each step honing my skills and expanding my knowledge base.

My aim is to collaborate on multiple teams implementing data-driven solutions for businesses seeking to take advantage of their data assets. While doing this, I seek to acquire and improve technical and soft skills in a competitive environment.

Areas of Interest

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    Data Engineering

    Successful data-driven endeavors require systems that transform raw data into actionable data. Whether performing cloud migrations or building ETL pipelines, I thrive on engineering solutions that empower organizations to harness their data.

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    Data Science / AI

    From the need to make sense of massive amounts of data, I've delved into different forms of data analyses, including modern machine learning, empirical statistics, and applied artificial intelligence.

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    Software Development

    I navigate the realms of automation and web development with ease. From crafting simple and elegant web applications to building dynamic front-end interfaces, my aim is to transform ideas into tangible, user-centric experiences.

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    Bioinformatics

    My journey into the world of bioinformatics began with a profound curiosity about life's intricacies. Through working in phylogenomics and evolutionary biology, I've developed a solid understanding about the methods used to study the evolution of biological systems.

Resume

Experience

  1. Deloitte Consulting Group S.A. de C.V

    03/2022 to date

    Led end-to-end data migration projects from SAP ECC to SAP S/4HANA, overseeing ETL setup and data loading using LSMW, standard transactions, Z programs, and Cockpit, ensuring accuracy and compliance with business rules.

    Supervised and mentored a team of junior consultants, defining priorities, tracking deliverables, and ensuring project milestones were met on time and within scope.

    Designed and implemented ETL pipelines in Databricks and Data Services BODS, improving data validation, uniqueness, and completeness testing.

    Applied expertise in SAP modules (MM, FICO, PP, PM, SD, QM, etc.) to align data migration and analytics processes with business administration and operational goals.

    Developed AI-driven MVP solutions leveraging AWS Bedrock, Lambda, Athena, and S3, including Retrieval-Augmented Generation (RAG) systems for text-to-SQL query generation, and intelligent agents capable of interpreting complex database outputs.

    Engineered document-processing workflows that transformed unstructured data into vector embeddings stored in vector databases, enabling context-aware retrieval and analysis.

    Trained in data visualization, analysis, and processing using Power BI, SQL, AWS services, and Databricks, contributing to data-driven decision-making frameworks.

Education

  1. Bachelor’s degree at National Autonomous University of Mexico (UNAM)

    08/2015 to 06/2020

    B.S. in Biology Avg. 8.13/10.
    Degree Thesis: Biogeographic and Molecular Delimitation of Centruroides limpidus (Karsch, 1897) (Scorpiones: Buthidae), a Scorpion of Medical Importance of Center-Southern Mexico.

  2. Master’s degree at National Autonomous University of Mexico (UNAM)

    08/2022 to date

    Master’s degree in Systematic Biology Avg. 9/10.
    Degree Thesis: Genomic Species Delimitation of Centruroides limpidus (Karsch, 1897) (Scorpiones: Buthidae).

  3. Language Proficiency

    08/2022 to 09/2024

    TOEFL ITP: Score 620.
    TOEFT iBT: Score 108.

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