about me

Hi! I'm Isabella.

I enjoy discovering the power of R & python for data analysis and visualization and this site is where I share what I learn and my latest work. Inspired by the helpful R community on Twitter and personal blogs I've discovered, I decided to share my learnings in hopes of helping others like those resources help me. I believe in the importance of communicating data-driven insights to all audiences and have grown a particular interest in data visualization and data storytelling.

I have an academic background in statistics, professional experience in consulting at SAS, and am currently a Data and Reporting Analyst.

Feel free to email me at isabellabenabaye@gmail.com, check out my CV or LinkedIn, view my code on github, or say hi on Twitter.

experience

 
 
 
 
 

Data and Reporting Analyst

Didi Hirsch Mental Health Services

Sep 2020 – Present Inglewood, CA, USA
 
 
 
 
 

Associate Technical Consultant

SAS Institute

Sep 2017 – Oct 2019 Manila, Philippines

• Gathered business rules & requirements from subject matter experts to map data from multiple sources into a consolidated data mart to be used for reporting

• Developed, tested, and deployed both reusable and custom components of ETL processes using SAS and SQL code

• As a developer, performed data preparation, cleansing, and integration, and ensured data quality and integrity

• Handled large data sets, retrieving them from either an MS SQL Server or Hadoop Distributed File System (HDFS)

• Optimized existing SAS Data Integration Studio jobs & SQL code that produced reports

• Provided documentation of processes to clients across all projects

• Projects as a consultant were primarily in the banking industry using SAS Data Integration Studio and SAS Enterprise Guide

 
 
 
 
 

On-the-Job Trainee

SAS Institute

Jul 2017 – Sep 2017 Manila, Philippines
To better understand post-paid customers, performed cluster and profile analysis for the Advanced Analytics team of a telecommunications company using SAS Data Integration Studio and SAS Enterprise Guide.
 
 
 
 
 

SAS Bootcamper

SAS Institute

Jun 2017 – Jul 2017 Manila, Philippines
Underwent six weeks of hands-on and classroom training using the following tools and solutions: Base SAS Software, SAS Enterprise Guide, SAS Data Integration Studio, SAS Visual Analytics, SAS Enterprise Miner, SAS Customer Intelligence Studio.

education

🎓 Bachelor of Science in Statistics

technical skills

   SQL      
  R Programming      
   Python    
Tableau
SAS Base  SAS Data Integration Studio  SAS Enterprise Guide

awards

Best Undergraduate Student Paper Award, First Place

Co-author of the paper titled, “Understanding Micro-level Factors Influencing the Ideal Number of Children and Contraceptive Intention and Practice of Filipino Women: A Call for Attention on Women with Unmet Fertility Preference.”

Best Undergraduate Student Paper Award, First Place

Co-author of the paper titled, “Exploring the Performance of Classical Linear Regression in Key Driver Analysis for Likert-Scale Response Variables: A Simulation Study.”

Best Undergraduate Student Paper Award, Third Place

Co-author of the paper titled, “Understanding the Micro-Level Factors Influencing the Ideal Number of Children and Contraceptive Intention and Practice of Filipino Women: A Call for Attention on Filipino Women with Unmet Fertility Preference.”