Who’s Teneika and What’s She Building? 👩🏽‍🏫 📊

Hi 👋🏽 I’m a Global Analytics and Agile Leader, Teacher and Mentor who is passionate about bringing data fluency and technology to elevate people while building and expanding communities. I have over 9️⃣ years of experience providing analytics, business process improvement and consulting services. I enjoy and specialize in data analyses 📉 around financial, talent and operational data and driving workforce strategies for Fortune 500 companies.

Awards 🎉

US Digital Leader. Women of Color in STEM - Technology All Star Award Recipient. People Analytics World Speaker. Grace Hopper Women of Color in Tech Scholar. Society of Women Engineers Speaker. Distinguished Scholar and Honors level in Data Science for All fellowship.

Tools💻: Power BI, Tableau, SQL and Python to create 100% data-driven, innovative insights using organizational data.

Certifications 🎓 | Microsoft Data Analyst, Certified Scrum Master, Tableau Desktop Specialist, AWS Solution Architect. COBIT 5, ITIL, Agile Certified Practitioner and Microsoft Certified Trainer. Fellowships: Data Science for All - Empowerment and Data Science for All - Women

The Biased Venture Capital System

Women owned businesses are growing 2X faster than all businesses nationwide, and yet, they only receive 2.8% of venture capital (VC) funding. The goal of this project is to help female entrepreneurs understand the VC funding landscape by producing a model to predict success of raising funds while also investigating gender bias and providing recommendations.

As the Project Lead and Data Science Fellow, Teneika conducted data analaysis, wrangling, Tableau dashboard development and data wrangling in Flow.. She led the team to create a model to evaluate the factors the lead to a Women-Owned or Women-Led business moving to the LP or GP stage of a venture deal. The outcome provided recommendations based on user and stakeholder interviews from experts in VC and access to a Tableau tool providing additional insight.

The team placed in top 5 projects out of 200 in the program. Link to Dashboard You can also view the findings from this research in the final report and on the datafolio.