Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a mathematician specializing in statistics and a Senior Data Scientist with 7 years of hands-on experience in data science. I’m proficient in Python, R, SQL, and cloud platforms, with a track record of leading end-to-end data science projects—from data ingestion and cleaning to model development, deployment (MLOps), and BI visualization. I have applied machine learning and Generative AI techniques, including building RAG-powered chatbots, and have worked with large language models to deliver scalable AI-driven solutions. I thrive in multicultural environments and enjoy collaborating with cross-functional teams to tackle complex challenges. I’m committed to continuous learning and leadership growth, seeking roles where I can leverage my technical skills and experience to drive meaningful impact while developing professionally and personally.…I am a mathematician specializing in statistics and a Senior Data Scientist with 7 years of hands-on experience in data science. I’m proficient in Python, R, SQL, and cloud platforms, with a track record of leading end-to-end data science projects—from data ingestion and cleaning to model development, deployment (MLOps), and BI visualization. I have applied machine learning and Generative AI techniques, including building RAG-powered chatbots, and have worked with large language models to deliver scalable AI-driven solutions. I thrive in multicultural environments and enjoy collaborating with cross-functional teams to tackle complex challenges. I’m committed to continuous learning and leadership growth, seeking roles where I can leverage my technical skills and experience to drive meaningful impact while developing professionally and personally.

Luis Leonel Morin Cabrera





I am a mathematician specializing in statistics and a Senior Data Scientist with 7 years of hands-on experience in data science. I’m proficient in Python, R, SQL, and cloud platforms, with a track record of leading end-to-end data science projects—from data ingestion and cleaning to model development, deployment (MLOps), and BI visualization. I have applied machine learning and Generative AI techniques, including building RAG-powered chatbots, and have worked with large language models to deliver scalable AI-driven solutions. I thrive in multicultural environments and enjoy collaborating with cross-functional teams to tackle complex challenges. I’m committed to continuous learning and leadership growth, seeking roles where I can leverage my technical skills and experience to drive meaningful impact while developing professionally and personally.…I am a mathematician specializing in statistics and a Senior Data Scientist with 7 years of hands-on experience in data science. I’m proficient in Python, R, SQL, and cloud platforms, with a track record of leading end-to-end data science projects—from data ingestion and cleaning to model development, deployment (MLOps), and BI visualization. I have applied machine learning and Generative AI techniques, including building RAG-powered chatbots, and have worked with large language models to deliver scalable AI-driven solutions. I thrive in multicultural environments and enjoy collaborating with cross-functional teams to tackle complex challenges. I’m committed to continuous learning and leadership growth, seeking roles where I can leverage my technical skills and experience to drive meaningful impact while developing professionally and personally.

Available to hire

I am a mathematician specializing in statistics and a Senior Data Scientist with 7 years of hands-on experience in data science. I’m proficient in Python, R, SQL, and cloud platforms, with a track record of leading end-to-end data science projects—from data ingestion and cleaning to model development, deployment (MLOps), and BI visualization. I have applied machine learning and Generative AI techniques, including building RAG-powered chatbots, and have worked with large language models to deliver scalable AI-driven solutions.

I thrive in multicultural environments and enjoy collaborating with cross-functional teams to tackle complex challenges. I’m committed to continuous learning and leadership growth, seeking roles where I can leverage my technical skills and experience to drive meaningful impact while developing professionally and personally.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

Work Experience

Senior Data Scientist at Logicalis Spain

March 1, 2025 - November 1, 2025

Designed and deployed an upselling model for funeral insurance using LightGBM, targeting high-propensity customers for additional product offerings. The training, evaluation, and monitoring pipeline was orchestrated and automated using AWS SageMaker, with the model served via real-time endpoints. Responsible for data ingestion and transformation from S3 for model training and validation, automating pipelines in AWS SageMaker.

Senior Data Scientist at Bell Integration

August 1, 2024 - March 1, 2025

Developed an employee support chatbot for frequently asked questions, leveraging Large Language Models (LLMs), multi-agent systems, and the Retrieval-Augmented Generation (RAG) methodology. Designed the data ingestion and preprocessing pipeline in Python, integrating the data layer with the RAG deployment environment.

Senior Data Scientist at Globant

September 1, 2023 - July 1, 2024

Implemented an automated document analysis process using a Large Language Model (LLM) through Magistral, enabling tasks such as classification by confidentiality, title and author extraction, and summarization. Achieved 86% precision in classification. Also deployed a chatbot in production environments leveraging Azure Databricks for scalability and enterprise data source integration. Also implemented a custom forecast system for ETF market projections.

Senior Data Scientist at A3sec

December 1, 2021 - September 1, 2023

Led the team to achieve company goals, supported model construction, and mentored teammates. Ingested and transformed data from Splunk and SQL into modeling pipelines, and integrated models with BI dashboards for anomaly tracking. Designed a UEBA system using five unsupervised ML models (isolation forest, LOF, one-class SVM, elliptic envelope, etc.) with automated AI-driven anomaly alerting. Built an acquisition model (XGBoost) to optimize campaigns with high-potential customers (recall 93%, precision 82%).

Data Scientist at Dataknow - Partnership with SAS

February 1, 2020 - December 1, 2021

Extracted data, debugged, and constructed using SAS GUIDE queries to create an ABT and DataMart, establishing a repository for the company’s information. Digitalized 100% of model predictions and accelerated deployment by implementing models at Intelligent Decisioning and Model Manager for commercial, payroll, and credit card segments.

Data Scientist at Banco Popular

February 1, 2020 - November 1, 2020

Digitalized 100% of model predictions and accelerated the process by implementing models at Intelligent Decisioning and Model Manager for the repository of models in the commercial segment, payroll, and credit card.

Data Scientist at Incocrédito

April 1, 2020 - October 1, 2020

Reduced fraud for clients by developing and implementing fraud models (Random Forest with precision 87% and recall 81%) for new and existing businesses. Automated data ingestion, transformation, and validation workflows in SAS Viya and Hive.

Data Scientist at Davivienda

November 1, 2020 - December 1, 2021

Developed a fraud model (SVM-polynomial with precision 63% and recall 72%) to identify compromise points, developing the input ABT and the modeling process under CRISP-DM and Scrum. Automated data ingestion, transformation, and validation workflows in SAS Viya and Hive.

Data Scientist at Data Scoring

March 1, 2019 - February 1, 2020

Models based on machine learning (Random Forest, SVM, Naive Bayes, Neural Networks, KNN, K-means, PAM, etc) and classic statistical models (logistic regression, linear regression, generalized linear models) for a credit risk model targeting unbanked individuals; responsible for data ingestion and cleansing and creating analytical views for modeling and reporting.