Roivas Data Solutions

Here to help reveal the clear picture behind your data.

Contact Me

Available Services

My role is to make your research more effective and efficient. Spend less time wrestling data and more time making decisions with trustworthy, data-driven insights.

ETL Workflows

Custom reproducible workflows for data entry, transformation, and loading (ETL) to move your data from messy formats to clean, clear, and user-friendly datasets.

Databases

Constructing a unique database backend designed specifically for users’ needs, maintaining connections between linked datasets.

User Interfaces

Development of front-end interfaces for users to interact with data across all levels of tech-savviness. Data is only useful if it is accurate and accessible.

Data Analysis

Application of advanced statistical methods to transform your raw data into meaningful knowledge for drawing sound conclusions and reliable decision-making.

Vizualizations

Compelling professional visualizations such as figures, maps, infographics, and more to help tell your data’s story to expert and non-expert audiences.

ABOUT me

Shannon Roivas, PhD

I love solving the data puzzle: arranging the pieces in a meaningful way that enables us to discover something new.

I began working with relational databases in 2014 doing data entry for a longitudinal data archive. Since then, I’ve mastered the data pipeline from entry to cleaning, validation, management, and advanced statistical analysis and interpretation.

My research background is grounded in handling environmental, behavioral, spatial, and archival datasets using tools such as R/RStudio, Google Earth Engine, SQL, ArcGIS, and more. Check out detailed descriptions of my background, skills, and education by connecting with me via LinkedIn.

My Experience

I’ve spent the last decade working with data: entry, cleaning, consolidating, transforming, and analyzing on two fantastic projects:

Jane Goodall Institute Gombe Research Archive

Researcher & DATA LAB MANAGER

Phaleron Bioarchaeological Project

database designer & DATA analyst

Academic Data

The data needs of academic researchers are as unique as their research questions.

Behavioral Data

Understanding behavior through statistical models and causal inference frameworks helps explain not just correlations but drivers behind the patterns we see.

Environmental Data

In an ever-changing world, environmental data provide important insights about ecosystem functions across multiple levels.

Spatial Data

Satellite imagery, maps, and location data provide important real-world context with specific processing and analytical requirements.

My Process

Process line shape

step 01

Consultation & Planning

We discuss your goals, preferences, and existing data structures to understand exactly what you need.

step 02

Preliminary Products & Input

I will create a mock-up using all or a subset of the data to ensure that the product suits your needs.

step 03

Final Product

Deployment of your data solutions with options for future collaboration.

How can I help your team make the most of your data?

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