Data Scientist
A Data Scientist is a professional who uses statistical, mathematical, and computational techniques to analyze and interpret complex data. They gather, process, and analyze large sets of structured and unstructured data to uncover patterns, trends, and insights that can inform business decisions.
ABOUT
Developer Summary
As a highly motivated Data Scientist with a robust foundation in Statistics, they possess over two years of experience in the field of data science. Their expertise encompasses data preprocessing, analysis, dashboard design, and predictive model development, all refined over the course of their professional journey. Demonstrating proficiency in developing models utilizing both machine learning and artificial intelligence techniques, they maintain a results-driven approach and a fervent dedication to extracting insights through modeling.
THE KNOWLEDGE
Education & Certifications
Education and certifications play a vital role in a professional’s career by providing foundational knowledge, validating skills, and demonstrating commitment to continuous learning.
University of Puerto Rico – Río Piedras Campus
Bachelor’s degree in Mathematics
University of Puerto Rico – Mayagüez Campus
Master’s degree in Statistics
THE EXPERTISE
Technologies
Understanding multiple technologies in programming is crucial as it enables developers to adapt to various project requirements, integrate different systems seamlessly, and stay competitive in a rapidly evolving industry.
- MS SQL Server
- MSSQL Reporting Services
- MSSQL Analysis Services
- MSSQL Integration Services
- Azure SQL
- PostgreSQL
- MySQL
- Keras
- JSON
- CSV
- Azure DevOps
- Azure Search
- Azure Storage
- GIT
- Gitflow
- Power BI
- ChatGPT
- Gemini
- Docker
- Scrum
- Kanbam
- Waterfall
- AI
- Mongo DB
- XML
- Pytorch
- AZ Web Services AI-ML
- Weka
- C / C++
- T-SQL
- PL/SQL
- Python
- Tensorflow
- MATLAB
- MS Azure AI Platform