Southern Methodist University
B.S. Mathematics
B.S. Statistics
B.S. Economics
Datavations
Datababy
A journey from quantitative analysis to understanding the patterns that shape human behavior and relationships.
With a background in quantitative fields, Rachel was trained to optimize for performance and output. But over time, she realized success was about so much more—social dynamics, relational intelligence, and behavioral awareness. The "soft skills" that nobody taught her how to measure were often what mattered most.
A pattern emerged: almost every interpersonal challenge could be traced back to an overabundance of a certain trait combined with a lack of its natural complement. Too assertive without receptivity. Too analytical without intuition. Too independent without collaboration. This observation led to the discovery of polarity theory.
Traditional personality assessments relied entirely on self-reported feedback—which is inherently biased. The question arose: are people just being mirrored back what they want to see? What they think they are? How would that compare to how others actually experience them?
Rachel recognized that she showed up differently depending on context. Who she was as a swimmer was different from who she was as a student, which was different from who she was with friends. That dynamicism isn't captured in traditional assessments. What environments bring out certain behaviors, and why?
The biggest insight: overleveraged strengths were both superpowers and limitations. The same traits driving success were causing conflict and limiting growth. To master an overleveraged trait required developing its complement—and that balance would accelerate everything.
When Rachel started seeing polarity profiles of people close to her, everything clicked. She finally understood why certain people reacted the way they did, what caused conflict and miscommunication, and even what drew her to some people while repelling her from others.
Rachel's LinkedIn background was building tools that transformed unstructured data into insights. She took on a new challenge: creating tools to capture something previously invisible because the data hadn't been collected. Once we can collect it, we can visualize it, understand it, and optimize it. That's Datababy.
Help individuals and teams optimize their mindset and behavior intelligently—with the use of logical frameworks, applied statistics, and positive psychology—to unlock their full potential.
Traditional personality assessments rely on outdated self-reporting and oversimplified categorical placements. Datababy uses continuous behavioral data to show how you actually show up—and how to evolve.
The best insights come from combining deep understanding of human behavior with rigorous analytical methods. That's what Datababy delivers.
Being a Division I athlete taught me that talent is just the starting point. What separates good from great is the relentless commitment to improvement—analyzing every stroke, every split, every mental response to pressure.
I bring that same discipline to understanding human behavior and helping others grow. I'm fascinated by the intersection of data and psychology—how we can use rigorous analysis to unlock insights about ourselves that intuition alone can't reveal.
Datababy exists because I believe everyone deserves access to the kind of behavioral intelligence that helps them understand themselves, strengthen their relationships, and perform at their best—whether in the boardroom, on the pool deck, or in everyday life.
Interests:
Join thousands of growth-oriented individuals using Datababy to understand themselves, strengthen relationships, and optimize their mindset.