Vida Williams

Vida Williams

Solution Lead
Vida Williams, our Advanced Analytics Solutions Lead, began her career in technology as a tech writer. Today, she uses her experience as a data scientist to drive social and economic change. Vida is passionate about data inclusivity and serves as the first-ever “Innovator in Residence” at VCU’s da Vinci Center.

Areas of Expertise

Technologies

  • Python​
  • R
  • SQL Server​
  • AWS Aurora​
  • RavenDB​
  • MongoDB​
  • Neo4j​
  • Azure Cosmos DB
  • AWS​
  • Microsoft Azure​
  • Snowflake
  • Spark​
  • Kafka
  • SQL Server Integration Services (SSIS)​
  • Tableau​ PowerBI

Concepts

  • Relational database design​
  • Graph database design​
  • Model design​
  • Feature definition​
  • Data ethics​
  • Model management

Thought Leadership

Our Data Methodology: Engagement Architecture

If you’re using data to make decisions, you need solid engagement architecture to understand how you got to those decisions. This is part two of a two-part series…

Our Data Methodology: Infrastructure Architecture

How to get the right data to the right person to make the right decision at the right time. This is part one of a two-part series about…

Well-Intentioned Culture: What Makes SingleStone Different for Vida Williams

Last week, Tricia Rhodes kicked off a new Q & A series that shares how SingleStone is redefining the consulting industry. Through a human-first approach and a team…

Don’t Just Provide Data Analytics: rvatech/DataSummit 2020

Vida spoke at last month’s rvatech/DataSummit Conference and urged attendees to do more than just provide data analytics.  You’ve got troves of data. Are your practitioners sifting through…

Social Distancing as a Mother, Data Scientist, and Community Contributor

For many, social distancing is a new and alarming concept. For me, it almost feels like a continuation of my life as a single-mother, technology and community leader. …

SingleStone’s Data Expertise

More than likely, your organization is generating massive amounts of data. In fact, typical data-centric enterprises manage more than 10 billion files annually — and that number is…

Hallmark 1: Infuse Data

Today, many traditional companies are finding that they must become technology companies to compete in a global market. And they are discovering that a wealth of customer data…