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Carla Gentry BIO – Founder and Data Scientist Analytical-Solution
During the past 18 years, I have worked with Fortune 100 and 500 companies including but not limited to, Discover Financial Services, J&J, Hershey, Kraft, Kellogg’s, SCJ, McNeil, PBA, Disney, Deloitte and Firestone. Acting as a liaison between the IT department and the Executive staff, I am able to take huge complicate databases, decipher business needs and come back with intelligence that quantifies spending, profit and trends. Being called a data nerd is a badge of courage for this curious Mathematician/Economist because knowledge is power and companies are now acknowledging its importance.
Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes. Armed with data and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization’s leadership structure.
IBM hits the nail on the head with their definition of a Data Scientist. Having worked with traditional data analysts as well as programmers, developers, architects, scrum masters, and data scientists — I can tell you they don’t all think alike. A data scientist could be a statistician but a statistician may not be completely ready to take on the role of data scientist, and the same goes for all the above titles as well.

Specialties:

• Comprehensive Customer Satisfaction and Retention Analysis
• Brand Research & Competitive Analysis
• Employee Retention Research
• Survey Creation & Analysis (New Product and Branding)
• Database creation and mining
• Social Media & Coupon, Incentive Promotions
• Project Management (Scrum Certified)
• Ethnomethodology – Analysis of everyday social interactions and activities
• Large data set analysis including unstructured data