about me

Hi! I'm Isabella.

I'm currently enjoying 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 intend to continuously learn and grow in the field of data science.

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.”