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Rolando Corona Jiménez

@rolandocoronajimenez

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Senior Data Scientist building predictive, decision-support analytics products for data-driven marketing decisions.

Mexico

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What I'm looking for

I’m looking for a role where I can build analytics products end-to-end—predictive modeling, experimentation, optimization, and deployment—while collaborating in cross-functional agile teams to help stakeholders make better decisions.

I’m a Senior Data Scientist focused on building analytics products that enable data-driven decision-making. I develop predictive models and deliver end-to-end solutions—from data preparation to deployment—often translating experimentation and optimization into practical tools for business teams.

At HP, I analyzed pre–post experiments to measure marketing impact and built Bayesian optimization models to recommend budget allocation across channels and portfolios. I led development of an interactive simulation platform integrating 20+ predictive models, supported the shift to an in-house optimization solution, and built automated reporting pipelines with production monitoring and a centralized model registry to improve version control and deployment management.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist

Jan 2021 - Jan 2026 (5 years)

Analyzed pre–post experiments to measure the impact of marketing initiatives and support investment decisions. Developed Bayesian optimization models for budget allocation and led an interactive simulation platform integrating 20+ predictive models for scenario evaluation and stakeholder recommendations.

Bayesian Optimization predictive modeling A B Testing Marketing Analytics Agile Scrum Data Pipelines Model Monitoring Model Registry Modeling and Simulation

Data Scientist

Tecnológico de Monterrey

Jan 2020 - Present (6 years 6 months)

Upgraded the student churn framework by replacing logistic regression with advanced machine learning classification algorithms to improve prediction accuracy. Built an NLP pipeline for sentiment analysis on student reviews to identify institutional areas of opportunity from survey feedback.

Machine Learning Classification Logistic Regression Churn Modeling NLP Sentiment Analysis Data Processing