eghalea,Alex Eghorieta ,github

Hi there!, I’m @eghalea

Areas of interest:

  System Reliability, 
  
  Continuous improvement

  Risk modeling and assessment, 

  Design of experiments, 

  Multivariate analysis,

  linear programming and optimization,

  Discrete events and simulation,

  Safety engineering (risk and hazard analysis)

I’m looking to collaborate on anything machine learning and RDBM
📫 How to reach me [email protected]
check my other links medium and academia

Alex Eghorieta 's Projects

data-cryptography-and-hash-functions

This project illustrates the use of Hash functions and Symmetric Ciphers to encrypt a private message and prevent access to foreign agents

design-of-experiments

This is a project on Factorial design analysis for multiple factors interaction

This project is a Pinball designed experiment to determine the effect of different types of ball on the distance in which the ball is thrown. After gathering the data from thrown balls, a hypothesis test was done on the sample mean of each treatment (thrown ball) in a completely randomized design with an alpha around 0.05.

eghalea

Config files for my GitHub profile.

lean-methodology-lockheed-martin-

Incorporation of Lean methods in Special problem management at Lockheed Martin. A case on eliminating waste in the process flow of identification and resolution of special problems occurring in fighter jet testing labs.

reliability-data-plot

These are graphical plots of reliability data which are quick and useful visual test to determine if a particular model is consistent with an observed data from an operating system or manufacturing equipment

stochastic-modeling-and-event-simulation-of-an-emergency-department-ed-

This project demostrates an attempt to model an ED system by replicating multiple scenarios that will aid the optimization of the ED services through efficient resource utilization to solve overcrowding problem and reduce average waiting and service time in the ED

system-reliability-and-heart-failure-analysis-python-projects

This Project is a study of the patient’s survival rate due to heart failure condition caused by cardiovascular diseases. Various factors causing the disease were analyzed with the use of reliability analysis and software to model and predict patients’ survival.

Recommend Projects