Problem Solver
Christopher Tucker
Areas Christopher Tucker is Knowledgeable in:
Computer software and autonomous systems
Techniques Christopher Tucker Uses:
Realisation of abstraction, as illustrated in my innovations and criticial thinking where disparate pieces of data are brought together to create thoughtful and well-informed analytical goals. As an academic, my penchant for creating literature surveys before beginning to think on a problem is my true strength.
Christopher Tucker's Problem Solving Skills:
- Machine Learning
- Data Analytics
- Poisson and Hurdle modeling
- Neural networks
- Pattern recognition
Christopher Tucker's Problem Solving Experience:
- I patented a design for autonomous artificial entities.
- I have worked many years performing statistic and stochastic analysis.
- Research and programming (C#, Python) in neural networks (back-propagation, convoluted, belief, recurrent), stochastic and statistical techniques such as linear regression, negative binomial, zero-inflated Poisson and Hurdle models to identify unexpected behaviours, as these are normally unaccounted for in normal risk-assessment scenarios. Computational analysis performed in Stata software.
- I described the proper mathematical foundations for micro-sized wireless power implementations for RFID/NFC. This included a fully-described method of analysis. Published in January 2017, IET, Circuits, Devices, and Systems.