Open to opportunities

Yamil Velazquez

@yamilvelazquez

Data Scientist with 8+ years in banking, building ML/AI models for segmentation, scoring, and measurable business impact.

Paraguay

Message

What I'm looking for

I’m looking for a role where I can build and deploy scalable ML/AI solutions end to end—driving segmentation, scoring, and predictive impact—while using strong analytics practices (Python/SAS) and modern deployment pipelines.

I’m a Data Scientist focused on turning complex business problems into scalable AI and advanced analytics solutions. With 8+ years in the banking sector, I build predictive models, customer segmentation, and recommendation systems that deliver measurable impact.

In my current role at Banco GNB Paraguay, I develop and deploy machine learning models for segmentation, scoring, and targeting. I also build clustering (K-Means) and predictive models to optimize business performance, and I deliver end-to-end analytical solutions using Python, SAS, and SAS Viya.

Previously, as a Data Analyst at Banco Itaú Paraguay, I created churn and digital adoption models and product recommendation systems using XGBoost and other ML techniques. I contributed to fraud alert systems through web scraping, supported deployments with Python, GitLab, and Apache Airflow, and helped teams through agile mentorship while earning 2nd place in a hackathon.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst / Data Scientist

Current

Banco GNB Paraguay

Nov 2022 - Present (3 years 8 months)

Develop and deploy machine learning models for segmentation, scoring, and targeting, including K-Means clustering and predictive models to optimize business performance. Generate insights through advanced analytics and data visualization using Python, SAS, and SAS Viya for end-to-end analytical solutions.

Machine Learning predictive modeling Customer Segmentation Scoring Targeting K Means Clustering Python SAS Data Visualization advanced analytics End To End Model Development

Data Analyst

Banco Itaú Paraguay

Apr 2017 - Oct 2022 (5 years 6 months)

Developed predictive models for churn, digital adoption, and product recommendation systems using XGBoost and other machine learning techniques. Built fraud alert systems using web scraping and supported model deployment with Python, GitLab, and Apache Airflow while contributing to team mentorship using agile methodologies.

predictive modeling Churn Modeling Digital Adoption Recommendation Systems XGBoost Machine Learning Fraud Detection Web Scraping Python Gitlab Apache Airflow Agile

Software Developer

Sistema Pegasus SRL

Apr 2016 - Mar 2017 (11 months)

Software Developer at Sistema Pegasus SRL.

Software Developer

Editora Adis

Jul 2015 - Apr 2016 (9 months)

Software Developer at Editora Adis.

Education

Degrees, certifications, and relevant coursework

Universidad Alfonso X el Sabio

Master's Degree in Artificial Intelligence, Artificial Intelligence

2025 -

Pursuing a Master's degree in Artificial Intelligence. Thesis focuses on a Multi-Agent System for intelligent travel budget generation using multi-criteria optimization.