About
Highly accomplished Data Scientist and AI Engineer with over 5 years of experience leading complex data initiatives and developing cutting-edge AI solutions. Specializing in Generative AI, LLM Agents, time-series forecasting, and machine learning pipelines, I excel at translating intricate business challenges into scalable, data-driven systems that deliver measurable impact. Proven ability to drive innovation, optimize processes, and foster team growth within dynamic technical environments.
Work
Pontificia Universidad Javeriana
|UNIVERSITY PROFESSOR
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Summary
Instructed university-level courses in advanced analytics and deep learning, shaping the next generation of data professionals.
Highlights
Delivered comprehensive curriculum on Advanced Methods in Analytics, equipping over 100 students with practical skills in statistical modeling and data interpretation.
Taught Deep Learning principles and applications, guiding students through complex neural network architectures and fostering hands-on project development.
Mercado Libre
|DATA SCIENCE TECHNICAL LEADER
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Summary
Led a data science team at Mercado Libre, driving the development and deployment of advanced AI/ML solutions to optimize marketplace operations and enhance business intelligence.
Highlights
Architected and deployed LLM Agents for fast, customizable business metrics reports and RAG systems, significantly accelerating documentation retrieval and reporting efficiency.
Developed AI Agents to automatically generate web scraping code, enabling real-time competitive intelligence and strategic market positioning.
Engineered optimal pricing recommendation systems for all items sold on the Marketplace, contributing to significant revenue uplift and improved sales velocity.
Designed and implemented advanced demand forecasting models for Inventory Replenishment, accurately predicting for over 400K SKUs sold in First Party.
Executed sophisticated modeling for product matching and pricing, enhancing data accuracy and informing competitive pricing strategies across the platform.
Mentored and guided a team of data scientists, fostering skill development in AI/ML initiatives and improving overall team productivity.
Banco Davivienda
|DATA SCIENTIST - RISK ANALYTICS
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Summary
Led data science initiatives within the Risk Analytics division, focusing on income estimation and leveraging unstructured data for strategic insights.
Highlights
Led a core Data Science team, overseeing project execution and ensuring timely delivery of critical risk models.
Developed and validated income estimation models using transactional and labor data, improving prediction accuracy by 10% for risk assessment.
Pioneered the integration of unstructured data (images, text) into analytical models, unlocking new insights for multiple business divisions.
Successfully deployed multiple machine learning models on Google Cloud Platform, enhancing model accessibility and operational efficiency.
Grupo Dot
|JUNIOR DATA SCIENTIST
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Summary
Contributed to data science projects, leveraging machine learning and Google Cloud to develop algorithms and solve client problems.
Highlights
Collaborated with the Data Science team on 5+ machine learning projects, utilizing Google Cloud to develop scalable solutions.
Designed and optimized relational databases, enhancing data integrity and improving data retrieval efficiency by 20%.
Developed and implemented custom algorithms for data processing and analysis, supporting critical project requirements.
Applied Google Cloud Machine Learning APIs to address specific customer challenges, improving solution delivery speed by 15%.
Universidad de La Sabana - EICEA
|MICROECONOMETRICS PROFESSOR
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Summary
Taught Microeconometrics, focusing on model estimation and interpretation for undergraduate students.
Highlights
Instructed students on econometric model estimation, interpretation, and analysis, preparing over 50 students for advanced economic studies.
Developed and administered comprehensive tests and assignments, ensuring rigorous evaluation of student understanding and application of econometric principles.
Banco de La República de Colombia
|INTERN
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Summary
Conducted statistical and econometric analysis of surveys and literature research within the central bank's research unit.
Highlights
Performed statistical and econometric analysis on national surveys, providing data-driven insights for 3 key research reports.
Conducted extensive literature reviews on economic topics, contributing foundational research to ongoing policy analysis projects.
Education
Universidad Nacional de Colombia
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MSc
Statistics
Grade: GPA: 4.7
Courses
Two-Regime Functional Threshold Autoregressive Model (Thesis)
Pontificia Universidad Javeriana
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Bachelor Degree
Economics (Emphasis in Quantitative Methods)
Grade: GPA: 4.55
Courses
Quantitative Methods
Econometrics
Statistical Modeling
Awards
Scholarship for Postgraduate Academic Fees
Awarded By
Universidad Nacional de Colombia (UNAL)
Awarded consecutive scholarship for postgraduate academic fees at Universidad Nacional de Colombia, recognizing sustained academic excellence.
Orden al Mérito Académico Javeriano
Awarded By
Pontificia Universidad Javeriana
Recognized for exceptional academic achievement upon graduation from Pontificia Universidad Javeriana, a prestigious university honor.
Best GPA Cohort Honor
Awarded By
Pontificia Universidad Javeriana
Achieved top GPA within cohort for six consecutive semesters (2nd to 7th), demonstrating consistent academic rigor and performance.
Languages
Spanish
English
Certificates
Machine Learning Engineering for Production (MLOps)
Issued By
Coursera
Machine Learning Engineer
Issued By
Udacity
TensorFlow Developer
Issued By
Coursera
Skills
Data Science & Machine Learning
Generative AI, AI Agents, LLM APIs, Time Series Analysis, Forecasting, Machine Learning, Deep Learning, Statistical Modeling, Econometrics, Natural Language Processing (NLP), Computer Vision, Predictive Modeling, Risk Analytics, Data Mining, ETL Workflows, Data Pipelines, RAG Systems, Web Scraping, Optimal Pricing, Demand Forecasting, Inventory Replenishment, Product Matching.
Programming & Tools
Python, R, SQL, STATA, EViews, LaTeX, pandas, scikit-learn, TensorFlow, PyTorch, n8n.
Cloud Platforms
Google Cloud Platform (GCP).
Leadership & Communication
Team Leadership, Mentorship, Cross-functional Collaboration, Strategic Thinking, Problem-Solving, Research, Verbal Communication, Written Communication.
Interests
AI & Data Science
Generative AI (Images, Text, Agents), Time Series Analysis and Forecasting, Machine Learning (NLP, Computer Vision), Statistical Modeling, Econometrics.