~ Proverbs 3:6
AWS - Analytics - Machine Learning
Data Analytics Specialist with work experience and knowledge in AWS cloud computing, machine learning, and project management. Currently holds the AWS Data Engineer, Solutions Architect, AI Practitioner, and Cloud Practitioner certifications. Holds a master’s degree in business analytics and a bachelor’s degree in computer science. Experienced in problem identification, solution development, and utilizing various tools to derive insights from data and improve decision-making processes.
Successfully and simultaneously balanced professional work responsibilities, professional soccer, and academic demands, demonstrating the ability to manage time effectively and prioritize tasks.
4x AWS
Python
HTML
CSS
JS (basic DOM manipulation)
SQL
Bash
Django
MS PowerApps
Pandas
NumPy
Sklearn
Tensorflow
Matplotlib
Excel
PowerPoint
Client relations
Collaboration
Leading teams
Spanish (Native - read/write)
English (Fluent - read/write)
French (Beginner - CEFR A2)
Called up for Guatemala Under 23 National Soccer team on 2019.
Was part of Nashville SC’s MLS second team (Huntsville City FC) during their inaugural 2023–2024 season while simultaneously completing my master’s degree and working at Transcend.
Finished in 3rd place in National Competition with Coker University while leading and working on a hydroponics project and a buy/rent on-campus mini fridge project.
Excelled at balancing academics and sports. Leveraged discipline and time management to excel in both the classroom and on the field. My commitment to success drives me to continuously improve in all areas of my life.
Head Coach for the AYSO United Soccer Club Premier 08 team. Managed 2 assistant coaches, 16 players, and guest players from other teams in affiliation. Also, managed all related team logistics regarding to training session organization, travel for games, tournaments, arrival times, and keeping team culture stable.
Attended AWS re:Invent (December 2025), completing ML (300‑level) and Data Engineering (200‑level) 8‑hour bootcamps, plus sessions on architecture best practices, machine learning, encryption, and security.
Jan 2022 - Jan 2023
GPA: 4.0
Jan 2017 - Jan 2022
GPA: 3.65
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IN PROGRESS
Validates a professional's ability to design data models, manage data life cycles, and ensure data quality on AWS
Validates a professional's ability to design and deploy secure, cost-effective, and scalable solutions on AWS
Validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases.
Validates foundational, high-level understanding of AWS Cloud, services, and terminology.
This badge validates hands-on experience building modern AWS data solutions, including scalable data lakes/warehouses, real-time and streaming ingestion, analytics, storage, and BI dashboards.
Earners of this badge have demonstrated solution building knowledge using a broad set of AWS services. Badge owners have acquired hands-on experience building secure, fault tolerant and highly available AWS solutions.
Demonstrated basic solution building knowledge using AWS services and have a fundamental understanding of AWS Cloud concepts. Badge earners have acquired hands-on experience with compute, networking, database and security services.