About Me
I am an Applied Mathematics and Statistics MSc graduate who is passionate about machine learning, mathematics, and data science. With experience in cloud technologies, data visualization, and automation, I'm always excited to tackle challenging projects that create real impact.
Work Experience
Data Engineer
Grupo Disresa, Guatemala City, Guatemala | Aug 2023 - Present
- Built and optimized ETL pipelines for 300,000+ SKUs across 8 brands in 6 countries, ensuring timely and accurate data availability for stakeholders.
- Established a PostgreSQL data warehouse integrating data from SQL Server, BigQuery, and MongoDB, including data modeling and normalization, to enhance data accessibility and analytics.
- Created data visualisation dashboards.
Graduate Teaching Assistant
University of Notre Dame, Notre Dame, IN | Aug 2022 - Dec 2022
- Assisted with "Introduction to Probability" and "Statistical Learning for Data Science."
Equity Research Intern
New York, NY | Jun 2022 - Aug 2022
- Analyzed financial statements to identify investment opportunities, creating financial models and Python visualizations to support data-driven decisions.
- Redesigned Excel-based tools to streamline investment analysis processes, resulting in improved accuracy and faster reporting, and utilized Bloomberg Terminal to gather key financial metrics.
Projects
MicroKeras: Minimal Deep Learning Library
A minimal implementation of the Keras Sequential model and Dense Layer classes, built from scratch using Python and NumPy.
S&P 500 Data Engineering Project
Built data pipelines using Apache Airflow and Docker to store financial data in PostgreSQL. Developed three data visualization dashboards, one using Streamlit, one using Tableau and and one using React and Django.
Education
University of Notre Dame
M.S. in Applied and Computational Mathematics and Statistics
2022-2023
University of Notre Dame
B.S. in Applied and Computational Mathematics and Statistics
Minor in Actuarial Science | 2018-2022
Certifications
Google Cloud Professional Machine Learning Engineer
View CertificateGoogle Cloud Professional Data Engineer
View CertificateTechnical Skills
Programming Languages
Python, SQL, C++, Java, JavaScript
Libraries / Frameworks
Pandas, PySpark, SciKit-Learn, PyTorch, Django, React, Tailwind CSS
Databases / Datawarehouses
PostgreSQL, SQL Server, MongoDB, BigQuery, Hive
Data Visualization
PowerBI, Tableau, Streamlit, Plotly Express
Tools / Platform
Docker, Kubernetes, Apache Airflow, Linux, Neovim