Open to opportunities

RAUL ACOSTA MURILLO

@raulacostamurillo

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Data Scientist with strong expertise in Python and SQL.

Mexico

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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth in data science.

I am a Data Scientist with a strong foundation in Python and SQL, specializing in end-to-end machine learning frameworks such as Scikit-Learn, Statsmodels, TensorFlow, and PyTorch. My experience includes designing and implementing robust ETL pipelines and developing advanced software solutions that enhance product quality and operational efficiency.

Currently, I work as a Data Science Analyst at Neoris, where I lead the development of machine learning models and optimization techniques in collaboration with multinational teams. My academic background in Genomic Biotechnology, combined with hands-on experience in various internships, has equipped me with the skills to tackle complex data challenges and deliver high-impact solutions.

Experience

Work history, roles, and key accomplishments

Research Internship

National Institute of Genetics (NIG)

Jun 2024 - Jul 2024 (1 month)

Developed modular and reusable Python scripts to streamline complex transcriptomics workflows, with execution managed via Shell scripts. Engineered algorithms for structured extraction and organization of annotated gene data, enabling efficient analysis of large-scale datasets. Built and maintained algorithms for complex biological data structures creation using Python to support high-performance

Python Shell Scripting Data Extraction Data Manipulation Workflow Automation

Research Internship

Industrial Innovation Center in Artificial Intelligence (CII

Jun 2023 - Jul 2023 (1 month)

Designed and implemented a dynamic web-based dashboard enabling users to upload CSV files and conduct automated series forecasting. Applied a range of advance statistical, machine learning and Deep Learning supervised models to analyse time series data and generate forecasting; Integrated Python with HTML through Flask to deliver interactive visualizations offorecasts.

Web Development Dashboard Design Time Series Statistical Modeling Machine Learning Deep Learning Python HTML Flask Data Visualization

Intern

Mexican Cements (CEMEX)

Jan 1970 - Jan 1970 (0 months)

Led the development of continuous machine operation optimization software to enhance efficiency with predictive modeling and automation. Assisted in signal extraction, preprocessing, and exploratory data analysis to uncover trends, patterns and correlations for industrial modelling.

Predictive Analysis Automation Signal Extraction Optimization Software Trend Analysis

Education

Degrees, certifications, and relevant coursework

Autonomous University of Nuevo León at México

Bachelor's Degree, Genomic Biotechnology

2020 - 2025

Grade: 3.7/4.0

Coursework included: Calculus, Bioinformatics I and Programming, Biostatistics, Bioinformatics II, Bioinformatics III and Simulations, Experimental Design.