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Mark Nasila (PhD)
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  • Johannesburg
  • South Africa
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Mark Nasila (PhD)'s Discussions

SMOTE and adaptive synthetic sampling algorithms in SAS

Started Mar 16, 2016 0 Replies

Hi,I am developing a predictive model for a data-set that is very imbalanced. the ratio between goods and bads is 47500:1. I am exploring SMOTE sampling and adaptive synthetic sampling techniques…Continue

SMOTE sampling in SAS

Started Mar 16, 2016 0 Replies

Hi,I am working on building a supervised model to predict an imbalanced dependent variable.Is there anyone who has the SMOTE sampling algorithm in SAS? or the Adaptive synthetic sampling algorithm in…Continue

Question about R error: 'all arguments must have the same length'

Started this discussion. Last reply by Jigyasa Bisariya May 13, 2016. 2 Replies

Hi Everyone,i am using R to fit svms using the e1071 package. Everything seems fine when i train the model, and even when validating with a different data-set. the training data-set has 1500 records…Continue

Tags: the, same, length, have, must

Handling Imbalanced data when building regression models

Started this discussion. Last reply by Dean Abbott Jul 28, 2016. 14 Replies

Dear colleaques and friends,i would like to know how you go about handling a dataset with imbalanced groups being modelled using a classification model eg logistics regression. As an example, fitting…Continue

 

Mark Nasila (PhD)'s Page

Latest Activity

Mark Nasila (PhD) updated their profile
Jan 24

Profile Information

Company:
First National Bank
Job Title:
Chief Data and Analytics Officer - First National Bank Risk, South Africa
Seniority:
C-Level/SVP/Executive Team
Job Function:
Chief Data Officer (CDO)
Number of employees:
50.000 to 99.999
Industry:
Financial/Banking
Short Bio:
Dr Mark Nasila is the Chief Analytics Officer of FNB Risk. As an experienced AI, data science and analytics expert, he has ensured that the techniques and methodologies that he has introduced into FNB are at the forefront of where banking is headed both locally and internationally. Some of his career highlights and awards include: Developer and the brain behind Manila, an AI system FNB has been harnessing to reimagine its risk management and forensic due diligence processes, which was also featured as part of the Corinuim’s top 25 Global 2020 data and analytics industry greatest achievements, responses to the COVID-19 pandemic and plans for the future. Dr Nasila is recognised locally and internationally as a leading force in the development of new and up and coming techniques and methodologies, within the highly competitive areas of AI, data science and Machine learning. Dr Nasila has presented at local and international conferences such as the Business-Tech Digital Banking Conference - South Africa; the Chief Data & Analytics Officer forums in the South Africa and the UK and the European Simulation & Modelling Conference. He is also a PhD and Masters co-supervisor and external examiner at various universities in South Africa in the AI, data science and statistics areas. Dr Nasila has published and written opinion pieces in the BusinessDay, Daily Maverick, CIO Talk Network , CIO.com, Corinium Intelligence and the European Simulation & Modelling association. Mark holds a PhD in Mathematical Statistics from the Nelson Mandela University – South Africa, and is also a SingularityU South Africa Executive programme alumni. He was named one of the Corinium Global Intelligence "2020 Global Top 100 Innovators in data and analytics".
LinkedIn Profile:
http://Dr Mark Nasila is the Chief Analytics Officer of FNB Risk. A...
Interests:
Contributing, Networking

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