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I'm an Applied Data Scientist with a strong background in statistics and applied machine learning, experienced in developing predictive models and delivering actionable insights for client-focused projects. I'm proficient in Python and R, with the ability to work independently, manage multiple priorities, and communicate complex analytical results clearly in remote, fast-paced environments. I value collaboration, continuous learning, and translating data into tangible outcomes.…I'm an Applied Data Scientist with a strong background in statistics and applied machine learning, experienced in developing predictive models and delivering actionable insights for client-focused projects. I'm proficient in Python and R, with the ability to work independently, manage multiple priorities, and communicate complex analytical results clearly in remote, fast-paced environments. I value collaboration, continuous learning, and translating data into tangible outcomes.

Gerald Dean Andersson Argueta Girón

Data Scientist, Data Analyst, AI Engineer, +2

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I'm an Applied Data Scientist with a strong background in statistics and applied machine learning, experienced in developing predictive models and delivering actionable insights for client-focused projects. I'm proficient in Python and R, with the ability to work independently, manage multiple priorities, and communicate complex analytical results clearly in remote, fast-paced environments. I value collaboration, continuous learning, and translating data into tangible outcomes.…I'm an Applied Data Scientist with a strong background in statistics and applied machine learning, experienced in developing predictive models and delivering actionable insights for client-focused projects. I'm proficient in Python and R, with the ability to work independently, manage multiple priorities, and communicate complex analytical results clearly in remote, fast-paced environments. I value collaboration, continuous learning, and translating data into tangible outcomes.

Available to hire

I’m an Applied Data Scientist with a strong background in statistics and applied machine learning, experienced in developing predictive models and delivering actionable insights for client-focused projects.

I’m proficient in Python and R, with the ability to work independently, manage multiple priorities, and communicate complex analytical results clearly in remote, fast-paced environments. I value collaboration, continuous learning, and translating data into tangible outcomes.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Research Data Scientist / Research Associate at University of San Carlos of Guatemala – Mathematical Modeling Unit (UMMI / SENACIT)

July 1, 2022 - November 1, 2024

Applied statistical and machine learning models to climate and environmental datasets to analyze risk scenarios related to climate variability. Developed predictive models and analytical workflows using Python and R to support scenario analysis and long-term projections. Performed time series analysis on temperature and precipitation data to identify trends, anomalies, and patterns. Evaluated relationships between local climate variables and global climate indices (ENSO, AMO, TNA). Produced analytical summaries and visualizations to communicate modeling results and support evidence-based conclusions.

Lecturer – Data Science, Statistics & Programming at Universidad Regional de Guatemala

February 1, 2024 - Present

Teach statistics, inferential statistics, and introductory data science concepts to engineering and business students. Deliver instruction in Python programming with applications to data analysis and machine learning fundamentals. Supervise applied data science projects involving data cleaning, modeling, and result interpretation. Communicate complex analytical concepts to diverse audiences, strengthening data literacy and analytical thinking.

Information Systems Analyst / Web & Data Support at University of San Carlos of Guatemala

September 1, 2018 - Present

Supported institutional data publication workflows and ensured data availability and consistency. Collaborated with technical teams on backend processes and system reliability. Built structured datasets and reports to support internal monitoring and compliance needs.