Problem Solver

Christopher Tucker

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:

  1. Machine Learning
  2. Data Analytics
  3. Poisson and Hurdle modeling
  4. Neural networks
  5. Pattern recognition

Christopher Tucker's Problem Solving Experience:

  1. I patented a design for autonomous artificial entities.
  2. I have worked many years performing statistic and stochastic analysis.
  3. 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.
  4. 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.