About

About me

Data Analyst | Applied Data Science

  • Degrees: Business Informatics | MiF
  • Email: rangelorb97@outlook.com
  • Linkedin: @brendaorangelb
  • Phone: +1 (641) 861-8280
  • Location: Pella, IA, USA
  • Tech Content: @bren.data

Data Analyst with experience turning operational and business data into actionable insights, dashboards, and scalable reporting solutions. My background spans finance, manufacturing, and digital product environments, with hands-on work in Python, SQL, KPI reporting, and applied data science.

Certifications


Skills

Programming & Data Tools

  • Python
  • SQL
  • R
  • Excel VBA

BI & Data Visualization

  • Power BI
  • Tableau

Data Platforms & Technologies

  • Databricks
  • Spark SQL
  • Git

Analytics & Reporting

  • Statistical Analysis
  • Predictive Modeling
  • Process Analysis
  • Dashboard Design

Languages

Spanish: Native Speaker

English: Technical & Conversational

German: Advanced Conversational

Resume

Professional Experience

Education

Master's in Finance

2022 - 2024

Tecnológico de Monterrey, México

Analytically focused graduate program with coursework in Data Science, Statistics, and Quantitative Methods.

B.S. in Business Informatics

2016 - 2021

Tecnológico de Monterrey, México

Graduated with highest honors, earning top GPA in the graduating class and recognition for extracurricular student development

ESB Business School & INF Informatics

2016 - 2021

Hochschule Reutlingen, Germany

Exchange Program in Business & Informatics. DAAD German government scholarship for exchange students.

Leadership & Activities

Association of Computer Machinary (ACM)

2016 - 2018

Vice President & Treasurer

  • Managed budgets, purchase orders, and sponsor follow-up while supporting logistics for large-scale student events and international transportation needs.
  • Received awards for Best Student Project, Finance Administration, and Outstanding Participation.

Professional Experience

Data Analyst

08/2022 - Present

Nuxio Software Solutions

  • Analyzed government business data and Google Trends using Python to identify demand patterns and improve digital ad targeting.
  • Evaluated operational workflows and spreadsheet-based processes, contributing to an 80% efficiency gain and $10K+ in annual savings through workflow automation.
  • Led operational and requirements analysis across client initiatives, translating stakeholder needs into KPI definitions, workflow logic, and reporting requirements.
  • Designed dashboards and KPI structures that supported performance monitoring and more informed business decisions.

Data Scientist

07/2021 - 07/2022

Principal Financial Group

  • Developed predictive and statistical models to support marketing and retention initiatives in the Afore and investment funds business.
  • Solved business questions across departments through advanced analytics and statistical analysis.
  • Built interactive dashboards to communicate model outputs and insights to end users.
  • Reduced dashboard update time for predictive models by 70% by improving reporting workflows.

Project Associate - Data Scientist

08/2020 - 12/2020

CEMEX

  • Developed an indicator system using SAP, SQL, and Tableau to support production tracking and reporting.
  • Built a predictive model in Python to support cement quality control.
  • Advised management on data quality improvements and model implementation requirements.

Global Sales Controlling Department Intern

02/2020 - 07/2020

Hugo Boss

  • Supported retail KPI analysis and reporting using SAP, Excel VBA, and Power BI.
  • Conducted market and competitor analysis for a store launch in China.
  • Rebuilt the Weekly Sales Report, reducing delivery time by 65%.

Services

My Services

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Portfolio

My Works

  • All
  • Machine Learning
  • Data Visualization
  • Data Analytics

Cement Predictive Model

Machine Learning

City Development Web App

Data Visualization

Woman's Labor Force Evaluation

Machine Learning

Controlling Dashboard for Manufacturer

Data Visualization

Brazil Investment Market Research

Data Analytics

Tech Impact in Commercial Banking

Data Analytics