Open to opportunities

Olenin Ramirez

@oleninramirez

Data Scientist and PhD physicist building ML pipelines, forecasting models, and uncertainty-aware statistical frameworks.

Mexico

Message

What I'm looking for

I’m looking for fully remote roles where I can deliver end-to-end data science—ML pipelines, time-series forecasting, and uncertainty quantification—using rigorous validation and reproducible frameworks in an international, collaborative environment.

I’m a data scientist and PhD physicist focused on machine learning, statistical modeling, and large-scale scientific computing. I build end-to-end supervised ML pipelines and quantitative frameworks that prioritize rigorous validation, uncertainty quantification, and reproducibility.

In my projects, I’ve delivered a credit-risk classification pipeline reaching ROC–AUC ≈ 0.86 through feature engineering, training, evaluation, and threshold tuning. I also developed a volatility forecasting model (VIX index) with R ≈ 0.65 by combining statistical and machine-learning methods.

My research work strengthens my “modeling-to-evidence” mindset: I design reproducible Monte Carlo simulation and statistical modeling workflows for high-dimensional experimental data, supported by sensitivity analysis and validation against real datasets. I’m comfortable translating complex problems into robust, production-minded solutions.

Alongside research, I’ve taught probability, statistics, data analysis, and mathematics, supervising quantitative thesis work and student projects. I’m fluent in English, fully remote-ready, and used to international, collaborative environments.

Experience

Work history, roles, and key accomplishments

Doctoral Researcher

Universidad Iberoamericana

Jan 2020 - Jan 2026 (6 years)

Built and validated multiscale computational models for large-scale simulation of high-dimensional data using Python (PyROOT), C++, and Monte Carlo methods. Conducted statistical analysis and uncertainty/sensitivity evaluation, delivering reproducible pipelines and research presentations/publications.

Python PyROOT C++Statistical Analysis Sensitivity Analysis Uncertainty Quantification Numerical Diagnostics Scientific Computing

University Lecturer

Instituto Tecnológico de Toluca

Jan 2016 - Jan 2025 (9 years)

Taught probability, statistics, data analysis, and mathematics at university level, supervising student projects and quantitative thesis work.

Teaching Probability Statistics Data Analysis Mathematics Thesis Supervision

University Lecturer

Uaemex

Jan 2016 - Jan 2025 (9 years)

Taught probability, statistics, data analysis, and mathematics at university level, supervising student projects and quantitative thesis work.

Teaching Probability Statistics Data Analysis Mathematics Thesis Supervision

University Lecturer

Escuela Normal No. 1 de Toluca

Jan 2016 - Jan 2025 (9 years)

Taught probability, statistics, data analysis, and mathematics at university level, supervising student projects and quantitative thesis work.

Teaching Probability Statistics Data Analysis Mathematics Thesis Supervision

Education

Degrees, certifications, and relevant coursework

Universidad Iberoamericana

Doctor of Philosophy (PhD), Engineering Sciences

2020 -

Pursuing a PhD in Engineering Sciences focused on multiscale computational modeling and large-scale Monte Carlo simulation of high-dimensional data. Conducted statistical analysis, sensitivity and uncertainty evaluation, and built reproducible Python/C++ analysis pipelines validated against experimental datasets.