MSc in Computer Science

2020 - 2022

Cum Laude Mention

Instituto Politécnico Nacional, Mexico City, MX

At Centro de Investigación en Computación. Thesis: Computational Intelligence Algorithms for Medical Pre-diagnosis of Respiratory Diseases.

Bachelor of engineering in Computer Systems

Tecnológico Nacional de Mexico, Tuxtla Gutierrez, CHIS

Senior Data Scientist

2023 - Present

Atlanta, GA, USA

• Development end-to-end of a churn predictive model applying XGBoost and AutoPilot in AWS SageMaker using demographic information about the customer.
• Development PoC of a sentiment analysis model applying transformers and transfer learning. Also, the development of a text Generative model to assist in the generation of product descriptions applying LLM, such as GPT3.5.
• Collaborate with ML engineers, data engineers, and stakeholders to develop data and models in an accurate manner.
• Deploying and monitoring ML models in order to report and track model performance during the time.

Machine Learning Engineer

2022 - 2023

Guadalajara, Jalisco, MX

• Migrated, and deployed ML models to identify high-risk clients and opportunities using XGBoost, and Random Forest.
• Development of pipelines of machine learning models, ensuring reliable model deployment, monitoring, and management.
• MLOps applications using ML and Cloud computing tools.

Machine Learning Research Assitant

2020 - 2022

Mexico City, MX

• Designed a novel Machine Learning algorithm to deal efficiently with class imbalance, with higher performance of various state-of-the-art models
• Implemented several ML models, like k-NN, RandomForest, C4.5, MLP, Naive Bayes, and SVM in order to predict and pre-diagnosis several respiratory diseases.
• Proposed and conducted ML research experiments applying post-hoc methods like Friedman and Holm to evaluate designed models against state-of-the-art models.