Nathan Torres

Nathan Torres has had a diverse range of roles in the field of business intelligence and data analytics. Nathan most recently worked as the Business Intelligence Manager at RappiCard México. Prior to that, they were a Data BI & Analytics Specialist at a stealth startup. From 2022 to 2023, Nathan was the Data & Analytics Manager at Pagaloop, where they were responsible for defining and monitoring key performance indicators and collaborating with various departments to improve product performance. Before Pagaloop, they worked as a Business Intelligence Developer at Kavak.com, where they developed metrics and KPIs for Performance Ops - Car Journey. Nathan also has extensive experience at AlphaCredit, where they held various roles including Business Intelligence Senior Manager, Business Intelligence Manager, Business Intelligence Senior Analyst, and Portfolio Analyst. During their time at AlphaCredit, they were involved in the implementation of KPI dashboards, integration of databases, and development of data warehouses and KPIs. Prior to AlphaCredit, Nathan worked as a Portfolio Junior Analyst at OPCIPRES.

Nathan Torres completed their education history as follows:

From 2005 to 2010, they attended Universidad Nacional Autónoma de México and obtained a Bachelor's degree in Accounting.

From 2016 to 2018, they pursued a Master's degree in Administrative Informatics at the same institution, Universidad Nacional Autónoma de México.

Additionally, they obtained various certifications in different areas. In 2022, they completed the following certifications through LinkedIn: "Introducing AI to Your Organization," "Mastering Executive-Level Data Analytics," "Predictive Analytics Essential Training for Executives," "AI in Business Essential Training," "Artificial Intelligence for Business Leaders," "Data Engineering Foundations," "Data Science Foundations: Fundamentals," "Learning Data Governance," and "Statistics Foundations: The Basics."

Furthermore, in 2020, Nathan obtained certifications through DataCamp, including "Introduction to Data Visualization with Matplotlib," "Exploratory Data Analysis with Python," "Intermediate Data Visualization with Seaborn," "Python Data Science Toolbox (Part 2)," "Intermediate Python," "Introduction to Data Visualization with Seaborn," "Introduction to Python," and "Python Data Science Toolbox (Part 1)."