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Rachel OrtegaRO
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Rachel Ortega

@rachelortega

Bioengineer and M.Sc. in Computer Science specializing in bioinformatics and Python-driven ML.

Mexico
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What I'm looking for

I seek roles applying bioinformatics, ML, and Python to biological or regulated manufacturing data, within cross-functional, quality-driven teams offering growth.

I am a bioengineer with an M.Sc. in Computer Science focused on computational biology and bioinformatics, blending life sciences with data science and AI-driven analytics. I develop Python-based analytical pipelines and apply machine learning models to biological and process-related datasets.

With over three years of industry experience in regulated, quality-driven manufacturing environments (medical devices, aerospace, semiconductor, and laboratory analysis), I ensure data integrity, documentation accuracy, and compliance while supporting cross-functional teams in validation and decision-making.

I have hands-on experience in feature engineering, feature selection, predictive modeling, statistical analysis, and technical reporting in English. I deliver reproducible workflows using tools like Python, Jupyter, R/RStudio, WEKA, and KNIME to drive actionable insights.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Center for Scientific Research and Higher Education of Ensenada logoCE

Center for Scientific Research and Higher Education of Ensenada

Master of Science, Computer Science (Bioinformatics)

2023 - 2025

Activities and societies: Research projects in bioinformatics, development of Python analytical pipelines, machine learning model development and evaluation.

M.Sc. in Computer Science with research focus on bioinformatics and machine learning applied to biological data; developed Python-based analytical pipelines and evaluated predictive models.

Autonomous University of Baja California logoAC

Autonomous University of Baja California

Bachelor of Engineering, Bioengineering

2016 - 2021

Activities and societies: Coursework and projects in statistical analysis, data preprocessing, and quality control in regulated manufacturing environments.

Bioengineering degree with emphasis on data preprocessing and statistical analysis applied to biological and manufacturing quality contexts.

Tech stack

Software and tools used professionally

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Rachel Ortega - M.Sc. Researcher (Computer Science) - CICESE | Himalayas