Professional Journey

Mercado Libre

At Mercado Libre, my focus is on developing a comprehensive measurement approach using Large Language Models (LLM) to evaluate products and establish efficient workflows. I aim to optimize the data analysis processes by implementing key measurement methodologies that enhance system accuracy and scalability.

Key Achievements:

• Developed a comprehensive measurement methodology that improves product evaluation accuracy using LLM.
• Optimized workflows to enhance data analysis efficiency by integrating advanced technologies.

Technologies Used:

Python, Langchain, Verdi, NLP, Large Language Models

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Algorithia

Led teams within the retail sector, focusing on subsegments of home and mobility. Designed recommendation models that surpassed benchmarks in store tests. Coordinated the implementation of supervised and NLP models for home and motorcycle products, developing a robust analytics roadmap and creating four recommendation models with recurrent training.

Key Achievements:

• Improved the effectiveness of mobility and home recommendation models, exceeding benchmarks.
• Successfully developed and implemented analytical models with recurrent training and bash consumption.

Technologies Used:

Python, Scikit-learn, NLP, Git, Leadership

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Not Specified

Utilized NLP to identify business opportunities in media channels, created dashboards for monitoring social media metrics, and led the creation of an internal NLP preprocessing library to improve project efficiency and traceability.

Key Achievements:

• Achieved project approval in media communication initiatives.
• Identified influencers and proposed a trend detection model.
• Proposed company-wide adoption of an internal NLP library.

Technologies Used:

Python, NLP, Scikit-learn, Git

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Círculo de Crédito

Maintained and developed analytical models for the financial and telecommunications industry, using traditional methodologies and advanced Machine Learning techniques. Implemented new paradigms like unsupervised models and NLP to enhance model effectiveness.

Key Achievements:

• Contributed to the development of innovative analytical products, increasing efficiency and model effectiveness in credit risk evaluation.

Technologies Used:

Python, R, Machine Learning, Regression, NLP, Pandas, NumPy

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Management Solutions

Estimated credit risk parameters (PD, LGD) under IFRS9 for a multinational bank in Brazil. Participated in the development of credit card products and led initiatives in Advanced Analytics for credit risk. Automated key data analysis and treatment processes.

Key Achievements:

• Increased credit granting by 15% in the Dominican Republic.
• Enhanced credit risk decision-making in Peru through business relationship maps.

Technologies Used:

Python, R, SAS, Advanced Analytics, Data Analysis

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Universidad Jorge Tadeo Lozano

Taught Integral Calculus, guiding theoretical sessions of 120 minutes and clarifying complex concepts for engineering students.

Key Achievements:

Technologies Used:

Teaching, Mathematics

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Centro de Investigación y Formación para la Educación Superior

Led study sessions in various schools in Bogota and surrounding areas, focusing on statistics, algebra, calculus, and physics.

Key Achievements:

Technologies Used:

Teaching, Mathematics, Physics

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Universidad de los Andes

Adjunct professor and academic monitor in Linear Algebra 1, providing weekly support to students and regularly evaluating workshops and quizzes.

Key Achievements:

Technologies Used:

Teaching, Mathematics

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