About me
I am a Data Scientist and Chemical Engineer with a strong foundation in statistical modeling, machine learning, and data visualization. I hold a Master’s degree in Industrial Management and advanced training from MIT’s MicroMasters® in Statistics and Data Science.
Over the past years, I have applied data-driven solutions in both research and professional environments, from building predictive models for climate risk analysis to developing automated workflows and dashboards.
I am passionate about turning complex datasets into actionable insights and deploying solutions that create measurable impact. I am now seeking opportunities to contribute as a Data Scientist in remote or hybrid roles.
Featured Projects
Finance MVP – End-to-End Financial Forecasting Platform
Finance MVP is a full end-to-end Data Science project applied to financial markets. The system integrates data collection, predictive modeling, and web deployment to deliver actionable insights for stock price forecasting.
Polymer Property Prediction – NeurIPS 2025
This project was developed as part of the Kaggle NeurIPS 2025 Open Polymer Prediction Challenge, with the goal of predicting polymer physicochemical properties from molecular representations (SMILES). The project integrates advanced feature engineering with modern machine learning techniques to capture the complexity of polymer structures and their impact on thermal and mechanical behavior.
Customer Churn Analysis
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Skills & Tools
My technical toolkit spans programming, machine learning, data visualization, and modern platforms to build and deploy scalable solutions.
Programming & ML
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Python |
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R |
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SQL |
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TensorFlow |
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Scikit-learn |
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Keras |
Data Visualization
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Tableau |
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Seaborn |
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Plotly |
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Power BI |
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matplotlib |
Tools & DevOps
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GIT |
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Jupyter |
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Airflow |
Databases
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MySQL |
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BigQuery |
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PostgreSQL |
Experience & Education
A concise timeline highlighting my academic background and hands-on experience in data science.
🎓 Education
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MicroMasters® in Statistics & Data Science MITx – Massachusetts Institute of Technology Ongoing
Advanced coursework in probability, statistics, machine learning, and data analysis. Capstone in progress.
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Master’s in Industrial Management Universidad de San Carlos de Guatemala —
Operations, analytics, and strategic management applied to data-informed decision making.
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Chemical Engineering Universidad de San Carlos de Guatemala —
Strong quantitative foundation: calculus, statistics, process modeling, and optimization.
💼 Experience
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Data Scientist – Independent Projects & Research Remote 2023 – Present
Built predictive models and end-to-end workflows for climate risk analysis, customer churn, and financial forecasting; delivered dashboards and reproducible pipelines.
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Information Analyst Public Information Office – USAC —
Developed data-driven reports and automated processes to support institutional transparency and decision making.
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University Instructor / Tutor USAC & Regional Universities —
Taught Calculus, Programming, Statistics, and Physics; mentored students on applying analytical methods to real-world problems.
Featured Projects
Utilizing my background in Chemical Engineering for innovative data solutions.
Continuous Improvement
Collaborative Approach
Proven Track Record
Expertise in Data Science
Tailored Solutions
Innovative Techniques
Comprehensive Data Science Services Offered
Comprehensive Data Analysis Services
Transform raw data into insights.
Custom Machine Learning Solutions
Tailored models for various needs.
Comprehensive Data Science Services Offered
Key Metrics Reflecting Our Impact in Data Science
Our metrics illustrate the effectiveness and reach of our data-driven solutions.
Specializing in advanced data analysis.
Harnessing algorithms for better predictions.
Transforming data into actionable insights.
Unlock the potential of your data with our expertise.
Let’s discuss how we can empower your data initiatives.
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