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Andrés Gómez

@andrsgmez

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Data scientist and software developer with physics background, skilled in Python-driven data pipelines and analysis.

Colombia

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What I'm looking for

I seek roles where I can build data pipelines and analysis tools, collaborate on scientific computing projects, and grow in applied data science within interdisciplinary teams.

I am a data scientist and software developer with a foundation in physics and computational modelling, focused on turning large-scale scientific data into actionable insights. I build automated Python and Bash pipelines, design analysis tools, and apply statistical and numerical methods to improve data accuracy and reproducibility.

As a graduate researcher and teaching assistant, I have led projects, presented at international venues, and published first-author papers in peer-reviewed journals. I communicate complex technical results clearly, mentor students, and thrive in multidisciplinary teams working with HPC environments and open-source tools.

Experience

Work history, roles, and key accomplishments

Graduate Researcher

McMaster University

Jan 2023 - Jan 2025 (2 years)

Developed automated Bash/Python pipelines to extract, clean, and visualize large HPC simulation datasets, applied statistical and numerical methods to improve data accuracy and reproducibility, and presented findings at international conferences.

Python BASH HPC Data Cleaning Data Visualization Statistical Modeling NumPy Pandas

Teaching Assistant

McMaster University

Sep 2023 - Apr 2024 (7 months)

Guided students through Python-based statistical and materials science projects, clarified data interpretation concepts, and supported reproducible coding workflows for courses with 180+ students.

Python Statistical Methods Teaching Tutoring Communication

Undergraduate Research Assistant

Universidad Industrial de Santander

Mar 2021 - Mar 2023 (2 years)

Analyzed large-scale simulation datasets using Python and numerical methods and produced a laureated undergraduate thesis with quantitative and analytical contributions.

Python Numerical Methods Data Analysis Simulation Technical Writing Git

Research Intern

McMaster University

May 2022 - Aug 2022 (3 months)

Built an open-source Python tool for automated computation and visualization of observables from crystalline materials and collaborated with a multidisciplinary team on data-driven materials modelling.

Python Data Visualization Scientific Computing Git NumPy Automation Collaboration

Education

Degrees, certifications, and relevant coursework

McMaster University

Master of Applied Science, Materials Science & Engineering

2023 - 2025

Activities and societies: Graduate research, teaching assistantships in statistical methods and introductory materials science, conference presentations

Completed coursework and research in Materials Science & Engineering with focus on data pipelines and computational modelling; degree pending conferral.