Job Nmadu, Professor of Agricultural Economics specializing in Econometrics

Academic, Teacher, Researcher, Consultant, Administrator and Community Leader with skills in Regression modeling, Data Science, Machine Learning and Computable General Equilibrium who have graduated over 100 students (Undergraduates, Masters and Doctoral) and at least five of the students have become professors.

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Skills

Data Collection, Wrangling, Analysis and Visualisation

85%

Leadership, Administration and Coordination

80%

Modelling, Data Science, Machine Learning, R/CGE Programming

70%

Research, Consultancy, Collaboration and Networking

75%

Experience

 
 
 
 
 

Professor

The Federal University of Technology

Oct 2006 – Present Minna

Responsibilities include:

  • Teaching, Research and Community Development
  • Head of Department
  • Director and industrial Liaison Officer
  • Dean of Faculty
  • Consultancies, Networking and Collaborations
 
 
 
 
 

Chief Lecturer

The Federal Polytechic

Jan 1992 – Sep 2006 Bida
Lecturing, Research and Community Development.

Accomplish­ments

Introduction to data Scieence

See certificate

E-Platform on Weather and Climate Services for Resilience development: A Guide for Practitioners and Policy makers

Certified VIRT2UE Traine

See certificate

Practical General Equilibrium Modelling with GAMS

Advanced Leadership Seminar

Recent Posts

Load library and the data The data is scrapped from the website of the Nigerian Centre for Disease Control (NCDC) i.e (NCDC 2020). The scrapping was done with some bits of tricks. Please see my post on that. The BREAKS were established from the visual inspection of the data (see (Nmadu, Yisa, and Mohammed 2009)) library(tidyverse) library(splines) library(Metrics) library(scales) library(readxl) library(patchwork) library(Dyn4cast) BREAKS <- c(70, 131, 173, 228, 274, 326) z.

Introduction The advent of the COVID-19 pandemic really put everyone in confusion and as the days, weeks went-by, everyone was trying to understand the trend and the direction of the incidence. While the medicals were in their labs trying to understand the anatomy of the virus, various statisticians and data scientists were trying to model the trend so as to guide future actions and preparations. One of the early models was done for Australia by (Krispin and Byrnes 2020).

Introduction On the advent of COVID-19 globally and since February 29, 2020 in Nigeria, motivations to provide visuals of the trends and to provide guide to Nigerians on how to conduct themselves responsibly was boosted by the publication of the first coronavirus package and the awesome animation of the province level by Krispin and Byrnes 2020. That immediately sent me working on how to animate the cases for Nigeria. However, this desire was met with short comings because the data publish at the Johns Hopkins University Center for Systems Science and Engineering (JHU-CCSE) by the Nigerian Centre for Disease Control is agrregated nationally, whereas the animations that motivated me were regional for Australia.

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