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

With a background in Finance and studies in Law, this Data Scientist brings over a decade of experience, having previously served as a financial and business analyst. Throughout their career, they have assisted senior executives in financial, operational, and strategic decision-making processes by leveraging data insights. Their expertise lies in understanding data storage, extraction, and analysis to optimize organizational processes and improve financial performance. They have developed advanced data solutions, such as predictive models for loan delinquencies and monthly income reports, and effectively communicated their findings. Adapting to the evolving field of data analytics, they have acquired skills in Python, SQL, and R, and possess a solid understanding of Artificial Intelligence, Cloud Technologies, Cybersecurity, and Technology Product Management.

11 YEARS OF EXPERIENCE
Man looking to enhance customer service

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

Bachelor’s degree in Business Administration, Finance, and Juris Doctor

New York University

Master’s degree in Science in Quantitative Management

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.

  • Scrum
  • Kanbam
  • PyTorch
  • Weka
  • MS SQL Server
  • Azure SQL
  • Waterfall
  • Python
  • ChatGPT
  • Excel
  • Power Point
  • T-SQL
  • MS Azure AI Platform
  • Scikit-Learn
  • Power Automate
  • Power BI
  • Tableau