Python
Nataly Ramírez Urrego
Data Scientist | Statistician
Prado Veraniego,DC
Summary
Data Scientist with over two years of experience in predictive modeling, natural language processing (NLP), computer vision, and cloud computing. Skilled in developing and deploying scalable AI solutions using Python, Databricks, and cloud platforms such as Azure, AWS, and GCP. Strong background in statistics and machine learning, with a proven track record applying data science across industries including mining, energy, public services, and tourism. Experienced in using DevOps practices, LLMs, and advanced analytics to support strategic, data-driven decision-making.
Overview
3
3
years of professional experience
4
4
Certifications
3
3
Languages
Work History
Data Scientist
Datalytics S.A.S.
Medellín, Antioquia
01.2023 - Current
- Developed and deployed Large Language Models (LLMs) for tasks such as classifying airline complaints and analyzing recorded customer calls, leveraging Databricks, MLflow, and Azure AI Video Indexer for scalable, cloud-based implementation.
- Designed and deployed AI-powered chatbots using Azure Functions, Python, and LLMs, improving user interaction and customer service efficiency on enterprise platforms.
- Created a semantic segmentation model for the mining industry using computer vision techniques in Azure Databricks, identifying critical geospatial features to enhance operational decisions.
- Applied DevOps practices for model deployment and monitoring, ensuring robust, automated, and scalable machine learning pipelines across Azure, AWS, and GCP environments.
- Optimized end-to-end data science workflows in Databricks, integrating ETL pipelines, model training, and real-time inference, with a strong emphasis on cloud-native AI applications.
Data Analyst
Gender Observatory - UNAL
Bogotá, Bogota D.C.
08.2022 - 12.2023
- Led statistical analyses and data visualization efforts to monitor gender-based violence cases within the university, contributing to evidence-based policy recommendations.
- Developed reports and indicators to evaluate gender equity and inclusion across academic and administrative settings, supporting institutional decision-making.
- Collaborated with interdisciplinary teams to design surveys and analyze qualitative and quantitative data related to gender dynamics, student well-being, and institutional responses.
Education
Bachelor of Science - Statistics
Universidad Nacional De Colombia
Bogotá, Colombia 05.2001 -
Skills
Natural language processing
Computer Vision
Statistical analysis
Bayesian statistics
Time series analysis
Sentiment analysis
Neural networks
Machine learning
Large Language Models
Natural language processing
Software
R
SAS
Databricks
PowerBI
Tableau
CLOUDS
Azure
AWS
Google Cloud
Certification
AWS Certified Cloud Practitioner
EVENTS
25º SINAPE - Simpósio Brasileiro de Probabilidade e Estatística (2024) Duration: 5 days. Speaker.
Timeline
AWS Certified Cloud Practitioner
07-2024
Azure Data Scientist Associate
02-2024
Azure Fundamentals
03-2023
Data Scientist
Datalytics S.A.S.
01.2023 - Current
Data Analyst
Gender Observatory - UNAL
08.2022 - 12.2023
Data Science For All
08-2022
Bachelor of Science - Statistics
Universidad Nacional De Colombia
05.2001 -
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